WorldWideScience

Sample records for beaverlodge mine

  1. Mining

    Directory of Open Access Journals (Sweden)

    Khairullah Khan

    2014-09-01

    Full Text Available Opinion mining is an interesting area of research because of its applications in various fields. Collecting opinions of people about products and about social and political events and problems through the Web is becoming increasingly popular every day. The opinions of users are helpful for the public and for stakeholders when making certain decisions. Opinion mining is a way to retrieve information through search engines, Web blogs and social networks. Because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually. Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents. This study presents a systematic literature survey regarding the computational techniques, models and algorithms for mining opinion components from unstructured reviews.

  2. Longwall mining

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-03-14

    As part of EIA`s program to provide information on coal, this report, Longwall-Mining, describes longwall mining and compares it with other underground mining methods. Using data from EIA and private sector surveys, the report describes major changes in the geologic, technological, and operating characteristics of longwall mining over the past decade. Most important, the report shows how these changes led to dramatic improvements in longwall mining productivity. For readers interested in the history of longwall mining and greater detail on recent developments affecting longwall mining, the report includes a bibliography.

  3. Text Mining.

    Science.gov (United States)

    Trybula, Walter J.

    1999-01-01

    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  4. Graph mining

    OpenAIRE

    Ramon, Jan

    2013-01-01

    Graph mining is the study of how to perform data mining and machine learning on data represented with graphs. One can distinguish between, on the one hand, transactional graph mining, where a database of separate, independent graphs is considered (such as databases of molecules and databases of images), and, on the other hand, large network analysis, where a single large network is considered (such as chemical interaction networks and concept networks).

  5. Mining`s global tomorrow

    Energy Technology Data Exchange (ETDEWEB)

    Hobbs, B.; Grimstone, L.; MacBeth, A.

    1995-05-01

    Consists of an edited extract of the chapter `Mining Today, Australia`s Tomorrow - Exploration and Mining Globally to 2020` from the CSIRO book. `Challenge to change: Australia in 2020`. Forecasts the state of the Australian mineral industry in 2020 covering aspects such as: exploration concepts and area selection; excavation design and engineering; developments in mining technology and equipment; environmental management; and minerals processing. Presents an optimistic view of the long-term future of the Australian mining industry. Predicts that by 2020 Australia will emerge as the leader of an Austral/Asian trading bloc incorporating India, SE Asia, Pacific islands, Australia and New Zealand.

  6. Process mining

    DEFF Research Database (Denmark)

    van der Aalst, W.M.P.; Rubin, V.; Verbeek, H.M.W.;

    2010-01-01

    Process mining includes the automated discovery of processes from event logs. Based on observed events (e.g., activities being executed or messages being exchanged) a process model is constructed. One of the essential problems in process mining is that one cannot assume to have seen all possible...... behavior. At best, one has seen a representative subset. Therefore, classical synthesis techniques are not suitable as they aim at finding a model that is able to exactly reproduce the log. Existing process mining techniques try to avoid such “overfitting” by generalizing the model to allow for more...

  7. FROM DATA MINING TO BEHAVIOR MINING

    OpenAIRE

    ZHENGXIN CHEN

    2006-01-01

    Knowledge economy requires data mining be more goal-oriented so that more tangible results can be produced. This requirement implies that the semantics of the data should be incorporated into the mining process. Data mining is ready to deal with this challenge because recent developments in data mining have shown an increasing interest on mining of complex data (as exemplified by graph mining, text mining, etc.). By incorporating the relationships of the data along with the data itself (rathe...

  8. Social big data mining

    CERN Document Server

    Ishikawa, Hiroshi

    2015-01-01

    Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.

  9. Coastal mining

    Science.gov (United States)

    Bell, Peter M.

    The Exclusive Economic Zone (EEZ) declared by President Reagan in March 1983 has met with a mixed response from those who would benefit from a guaranteed, 200-nautical-mile (370-km) protected underwater mining zone off the coasts of the United States and its possessions. On the one hand, the U.S. Department of the Interior is looking ahead and has been very successful in safeguarding important natural resources that will be needed in the coming decades. On the other hand, the mining industry is faced with a depressed metals and mining market.A report of the Exclusive Economic Zone Symposium held in November 1983 by the U.S. Geological Survey, the Mineral Management Service, and the Bureau of Mines described the mixed response as: “ … The Department of Interior … raring to go into promotion of deep-seal mining but industrial consortia being very pessimistic about the program, at least for the next 30 or so years.” (Chemical & Engineering News, February 5, 1983).

  10. Coal Mines, Active - Longwall Mining Panels

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Coal mining has occurred in Pennsylvania for over a century. A method of coal mining known as Longwall Mining has become more prevalent in recent decades. Longwall...

  11. Data mining

    CERN Document Server

    Gorunescu, Florin

    2011-01-01

    The knowledge discovery process is as old as Homo sapiens. Until some time ago, this process was solely based on the 'natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since 'knowledge is power'. The goal of this book is to provide, in a friendly way

  12. Mining Review

    Science.gov (United States)

    ,

    2013-01-01

    In 2012, the estimated value of mineral production increased in the United States for the third consecutive year. Production and prices increased for most industrial mineral commodities mined in the United States. While production for most metals remained relatively unchanged, with the notable exception of gold, the prices for most metals declined. Minerals remained fundamental to the U.S. economy, contributing to the real gross domestic product (GDP) at several levels, including mining, processing and manufacturing finished products. Minerals’ contribution to the GDP increased for the second consecutive year.

  13. Mining Method

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Young Shik; Lee, Kyung Woon; Kim, Oak Hwan; Kim, Dae Kyung [Korea Institute of Geology Mining and Materials, Taejon (Korea, Republic of)

    1996-12-01

    The reducing coal market has been enforcing the coal industry to make exceptional rationalization and restructuring efforts since the end of the eighties. To the competition from crude oil and natural gas has been added the growing pressure from rising wages and rising production cost as the workings get deeper. To improve the competitive position of the coal mines against oil and gas through cost reduction, studies to improve mining system have been carried out. To find fields requiring improvements most, the technologies using in Tae Bak Colliery which was selected one of long running mines were investigated and analyzed. The mining method appeared the field needing improvements most to reduce the production cost. The present method, so-called inseam roadway caving method presently is using to extract the steep and thick seam. However, this method has several drawbacks. To solve the problems, two mining methods are suggested for a long term and short term method respectively. Inseam roadway caving method with long-hole blasting method is a variety of the present inseam roadway caving method modified by replacing timber sets with steel arch sets and the shovel loaders with chain conveyors. And long hole blasting is introduced to promote caving. And pillar caving method with chock supports method uses chock supports setting in the cross-cut from the hanging wall to the footwall. Two single chain conveyors are needed. One is installed in front of chock supports to clear coal from the cutting face. The other is installed behind the supports to transport caved coal from behind. This method is superior to the previous one in terms of safety from water-inrushes, production rate and productivity. The only drawback is that it needs more investment. (author). 14 tabs., 34 figs.

  14. Mining machinery

    Energy Technology Data Exchange (ETDEWEB)

    Outram, J.K.

    1978-11-23

    This is concerned with a supporting and transport device for heavy mining auxiliary equipment such as hydraulic units, switchgear, transformers, etc., which must be erected nearby to operate large mines and which have to be moved on as the workings progress. The device consists of long steel structures consisting of girders, whose upper/outer part made as a bridge unit surrounds the conveyor part lying below it over its whole length. The bridge with the auxiliary equipment fixed to it can be lifted at the ends and in the centre by jacks. The bridge anchored to the floor of the seam engages with guide wheels under a flat rail, which are distributed on both sides along its length, where the rails run on the left and right along its length. Both rails form a track like that of a crane trolley, on which the conveyor structure under the bridge unit can be moved forward a certain distance. By lowering the bridge by its jacks, other pairs of wheels engage the same rails from above, so that the bridge with the auxiliary equipment can also be moved along on the support structure resting on the floor of the seam. By repeating this process all auxiliary equipment is brought close to the mining face by moving the required distance.

  15. Coal Mine Permit Boundaries

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — ESRI ArcView shapefile depicting New Mexico coal mines permitted under the Surface Mining Control and Reclamation Act of 1977 (SMCRA), by either the NM Mining...

  16. Exploration and Mining Roadmap

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2002-09-01

    This Exploration and Mining Technology Roadmap represents the third roadmap for the Mining Industry of the Future. It is based upon the results of the Exploration and Mining Roadmap Workshop held May 10 ñ 11, 2001.

  17. Mining review

    Science.gov (United States)

    McCartan, L.; Morse, D.E.; Plunkert, P.A.; Sibley, S.F.

    2004-01-01

    The average annual growth rate of real gross domestic product (GDP) from the third quarter of 2001 through the second quarter of 2003 in the United States was about 2.6 percent. GDP growth rates in the third and fourth quarters of 2003 were about 8 percent and 4 percent, respectively. The upward trends in many sectors of the U.S. economy in 2003, however, were shared by few of the mineral materials industries. Annual output declined in most nonfuel mining and mineral processing industries, although there was an upward turn toward yearend as prices began to increase.

  18. Coal Mines, Abandoned - Digitized Mined Areas

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Coal mining has occurred in Pennsylvania for over a century. The maps to these coal mines are stored at many various public and private locations (if they still...

  19. Wikipedia Mining

    Science.gov (United States)

    Nakayama, Kotaro; Ito, Masahiro; Erdmann, Maike; Shirakawa, Masumi; Michishita, Tomoyuki; Hara, Takahiro; Nishio, Shojiro

    Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers a huge number of concepts of various fields such as arts, geography, history, science, sports and games. As a corpus for knowledge extraction, Wikipedia's impressive characteristics are not limited to the scale, but also include the dense link structure, URL based word sense disambiguation, and brief anchor texts. Because of these characteristics, Wikipedia has become a promising corpus and a new frontier for research. In the past few years, a considerable number of researches have been conducted in various areas such as semantic relatedness measurement, bilingual dictionary construction, and ontology construction. Extracting machine understandable knowledge from Wikipedia to enhance the intelligence on computational systems is the main goal of "Wikipedia Mining," a project on CREP (Challenge for Realizing Early Profits) in JSAI. In this paper, we take a comprehensive, panoramic view of Wikipedia Mining research and the current status of our challenge. After that, we will discuss about the future vision of this challenge.

  20. Mining machine safari

    Energy Technology Data Exchange (ETDEWEB)

    Woof, M.

    1998-11-01

    New South African and other mining equipment on display at the Electra 98 exhibition is described. Products include: cutting machines; shovels; crushing machines; drilling equipment; control systems; moon buggy inspection vehicles; remote control underground mining machines; longwall shearers; mining software; scrapedozers; continuous miners; sprays; mine haulage equipment; milling machines; flotation plant; mud removal systems; chains; vehicle exhaust filters and continuous miner monitoring systems.

  1. Mining lore : Bankhead, mining for coal

    Energy Technology Data Exchange (ETDEWEB)

    Nichiporuk, A.

    2007-09-15

    Bankhead, Alberta was one of the first communities to be established because of mining. It was founded in 1903 by the Canadian Pacific Railway (CPR) on Cascade Mountain in the Bow River Valley of Banff National Park. In 1904, Mine No. 80 was opened by the Pacific Coal Company to fuel CPR's steam engines. In order to avoid flooding the mine, the decision was made to mine up the steep seams instead of down. The mine entered full production in 1905. This article described the working conditions and pay scale for the mine workers, noting that there was not much in terms of safety equipment. There were many accidents and 15 men lost their lives at the mine. During the mine's 20-year operation, miners went on strike 6 times. The last strike marked the closure of the mine in June 1922 and the end of industry in national parks. CPR was ordered to clear out and move the mining equipment as well as the houses, buildings and essentially the entire town. During its peak production, Mine No. 80 produced about a half million tons of coal. 1 ref., 1 fig.

  2. First Mexican coal mine recovery after mine fire, Esmeralda Mine

    Energy Technology Data Exchange (ETDEWEB)

    Santillan, M.A. [Minerales Monclova, SA de CV, Palau Coahuila (Mexico)

    2005-07-01

    The fire started on 8 May 1998 in the development section from methane released into the mine through a roof-bolt hole. The flames spread quickly as the coal was ignited. After eight hours the Safety Department decided to seal the vertical ventilation shafts and the slopes. The quality of coal in the Esmeralda Mine is very high quality, and Minerales Monclova (MIMOSA) decided to recover the facilities. However, the Esmeralda Mine coals have a very high gas content of 12 m{sup 3}/t. During the next 2.5 months, MIMOSA staff and specialists observed and analysed the gas behaviour supported by a chromatograph. With the results of the observations and analyses, MIMOSA in consultation with the specialists developed a recovery plan based on flooding the area in which fire might have propagated and in which rekindling was highly probable. At the same time MIMOSA trained rescue teams. By 20 August 1998, the mine command centre had re-opened the slopes seal. Using a 'Step-by-Step' system, the rescue team began the recovery process by employing cross-cuts and using an auxiliary fan to establish the ventilation circuit. The MIMOSA team advanced into the mine as far as allowed by the water level and was able to recover the main fan. The official mine recovery date was 30 November 1998. Esmeralda Mine was back in operation in December 1998. 1 ref., 3 figs.

  3. Mining Ostrava '93

    International Nuclear Information System (INIS)

    Part I of the Proceedings contains 55 contributions, out of which 2 deal with environmental impacts of undermining during coal mining, and of shocks and vibrations during underground coal mining. (Z.S.)

  4. Mines and Mineral Resources

    Data.gov (United States)

    Department of Homeland Security — Mines in the United States According to the Homeland Security Infrastructure Program Tiger Team Report Table E-2.V.1 Sub-Layer Geographic Names, a mine is defined...

  5. Mine drainage treatment

    OpenAIRE

    Golomeova, Mirjana; Zendelska, Afrodita; Krstev, Boris; Golomeov, Blagoj; Krstev, Aleksandar

    2012-01-01

    Water flowing from underground and surface mines and contains high concentrations of dissolved metals is called mine drainage. Mine drainage can be categorized into several basic types by their alkalinity or acidity. Sulfide rich and carbonate poor materials are expected to produce acidic drainage, and alkaline rich materials, even with significant sulfide concentrations, often produce net alkaline water. Mine drainages are dangerous because pollutants may decompose in the environment. In...

  6. Mining in El Salvador

    DEFF Research Database (Denmark)

    Pacheco Cueva, Vladimir

    2014-01-01

    In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country.......In this guest article, Vladimir Pacheco, a social scientist who has worked on mining and human rights shares his perspectives on a current campaign against mining in El Salvador – Central America’s smallest but most densely populated country....

  7. Web Usage Mining

    OpenAIRE

    Benkovská, Petra

    2007-01-01

    General characteristic of web mining including methodology and procedures incorporated into this term. Relation to other areas (data mining, artificial intelligence, statistics, databases, internet technologies, management etc.) Web usage mining - data sources, data pre-processing, characterization of analytical methods and tools, interpretation of outputs (results), and possible areas of usage including examples. Suggestion of solution method, realization and a concrete example's outputs int...

  8. Mining text data

    CERN Document Server

    Aggarwal, Charu C

    2012-01-01

    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. ""Mining Text Data"" introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including

  9. Mining planing introduction

    International Nuclear Information System (INIS)

    Basic concepts concerning mining parameters, plan establishment and typical procedure methods applied throughout the physical execution of mining operations are here determined, analyzed and discussed. Technological and economic aspects of the exploration phase are presented as well as general mathematical and statistical methods for estimating, analyzing and representing mineral deposits which are virtually essential for good mining project execution. The characterization of important mineral substances and the basic parameters of mining works are emphasized in conjunction with long, medium and short term mining planning. Finally, geological modelling, ore reserves calculations and final economic evaluations are considered using a hypothetical example in order to consolidate the main elaborated ideas. (D.J.M.)

  10. Data mining in radiology

    Directory of Open Access Journals (Sweden)

    Amit T Kharat

    2014-01-01

    Full Text Available Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining.

  11. Data mining in radiology.

    Science.gov (United States)

    Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish

    2014-04-01

    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining. PMID:25024513

  12. Text Mining Perspectives in Microarray Data Mining

    OpenAIRE

    Natarajan, Jeyakumar

    2013-01-01

    Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine learning algorithms for analysis of large sets of gene expression data. In recent years, there has been a growing interest in methods that attempt to discover patterns based on multiple but related data sources. Gene expression data and the corresponding literature data are one such example. This paper suggests a new approach to microarray data mining as ...

  13. Collaborative Data Mining

    Science.gov (United States)

    Moyle, Steve

    Collaborative Data Mining is a setting where the Data Mining effort is distributed to multiple collaborating agents - human or software. The objective of the collaborative Data Mining effort is to produce solutions to the tackled Data Mining problem which are considered better by some metric, with respect to those solutions that would have been achieved by individual, non-collaborating agents. The solutions require evaluation, comparison, and approaches for combination. Collaboration requires communication, and implies some form of community. The human form of collaboration is a social task. Organizing communities in an effective manner is non-trivial and often requires well defined roles and processes. Data Mining, too, benefits from a standard process. This chapter explores the standard Data Mining process CRISP-DM utilized in a collaborative setting.

  14. Coal mine site reclamation

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2013-02-15

    Coal mine sites can have significant effects on local environments. In addition to the physical disruption of land forms and ecosystems, mining can also leave behind a legacy of secondary detrimental effects due to leaching of acid and trace elements from discarded materials. This report looks at the remediation of both deep mine and opencast mine sites, covering reclamation methods, back-filling issues, drainage and restoration. Examples of national variations in the applicable legislation and in the definition of rehabilitation are compared. Ultimately, mine site rehabilitation should return sites to conditions where land forms, soils, hydrology, and flora and fauna are self-sustaining and compatible with surrounding land uses. Case studies are given to show what can be achieved and how some landscapes can actually be improved as a result of mining activity.

  15. Gold-Mining

    DEFF Research Database (Denmark)

    Raaballe, J.; Grundy, B.D.

    2002-01-01

    of operating gold mines. Asymmetric information on the reserves in the mine implies that, at a high enough price of gold, the manager of high type finds the extraction value of the company to be higher than the current market value of the non-operating gold mine. Due to this under valuation the maxim of market...... value maximization forces the manager of high type to extract the gold.The implications are three-fold. First, all managers (except the lowest type) extract the gold too soon compared to the first-best policy of leaving the gold in the mine forever. Second, a manager of high type extracts the gold......  Based on standard option pricing arguments and assumptions (including no convenience yield and sustainable property rights), we will not observe operating gold mines. We find that asymmetric information on the reserves in the gold mine is a necessary and sufficient condition for the existence...

  16. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    Directory of Open Access Journals (Sweden)

    Qingliang Chang

    2014-01-01

    Full Text Available Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application.

  17. Mining in South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Brewis, T.

    1992-09-01

    Poor metals prices, high inflation, rapid political change and (in the case of gold) hot, deep mines all pose challenging problems. Nevertheless, mining plays an essential role in the South African economy and the long-term outlook is positive. The article discusses recent developments in technology and gives production figures for mining of gold, coal, platinum, diamonds, ferrous metals, non-ferrous metals and industrial minerals. 4 refs., 1 tab., 5 photos.

  18. The intelligent deep mine

    Energy Technology Data Exchange (ETDEWEB)

    Hejny, Horst [Mineral Industry Research Organisation (MIRO), Birmingham (United Kingdom)

    2010-12-15

    The intended 'Intelligent Deep Mine'' (IDM) initiative will cope with the challenges the mining industry is currently facing. The main focus will be on technological issues. An increasing share of the total mining production will be by underground mining. The mineral deposits will be found in gradually greater depths, including all problems associated with it. It involves an increase in overburden pressure with subsequent rock stability problems and risks of structural collapse. There is a need for new and safe technologies for deep underground mining. This need targets at nearly all parts of a modern mine, the infrastructure including the communication network, logistics and transport and will reach up to mine preparation work and the winning operation itself including maintenance. Additionally, the concept of near-to-face preparation will be considered in order to step into an ''Invisible Mine'' approach. The IDM project marks the start of a series of development activities aiming to realise the concept of an invisible, zero-impact mine. The extractive sector, still seen as being old-fashioned and highly environment polluting, will join forces to revise this image showing that minerals extraction and processing can be done in a highly innovative manner with low impact underground and zero impact above ground. (orig.)

  19. Uranium mining and milling

    International Nuclear Information System (INIS)

    In this report uranium mining and milling are reviewed. The fuel cycle, different types of uranium geological deposits, blending of ores, open cast and underground mining, the mining cost and radiation protection in mines are treated in the first part of this report. In the second part, the milling of uranium ores is treated, including process technology, acid and alkaline leaching, process design for physical and chemical treatment of the ores, and the cost. Each chapter is clarified by added figures, diagrams, tables, and flowsheets. (HK)

  20. Responsible Mining: A Human Resources Strategy for Mine Development Project

    OpenAIRE

    Sampathkumar, Sriram (Ram)

    2012-01-01

    Mining is a global industry. Most mining companies operate internationally, often in remote, challenging environments and consequently frequently have respond to unusual and demanding Human Resource (HR) requirements. It is my opinion that the strategic imperative behind success in mining industry is responsible mining. The purpose of this paper is to examine how an effective HR strategy can be a competitive advantage that contributes to the success of a mining project in the global mining in...

  1. The Penarroya mining railway

    International Nuclear Information System (INIS)

    The French Society Miniere et Metallurgique de Panarroya mining railway, 241 km long, was the second largest private narrow gauge railway in Spain. Located in the inland. linked the coal and galena mines with foundries and also with the national railroads grid, to transport the minerals to national and foreign markets. (Author)

  2. Ghana - Mining and Development

    OpenAIRE

    P. C. Mohan

    2004-01-01

    The objectives of the project ($9.37 million, 1996-2001) were to (a) enhance the capacity of the mining sector institutions to carry out their functions of encouraging and regulating investments in the mining sector in an environmentally sound manner and (b) support the use of techniques and mechanisms that will improve productivity, financial viability and reduce the environmental impact of ...

  3. Data mining for service

    CERN Document Server

    2014-01-01

    Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc. Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.  Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to ...

  4. Radioecological challenges for mining

    Energy Technology Data Exchange (ETDEWEB)

    Vesterbacka, P.; Ikaeheimonen, T.K.; Solatie, D. [Radiation and Nuclear Safety Authority (Finland)

    2014-07-01

    In Finland, mining became popular in the mid-1990's when the mining amendments to the law made the mining activities easier for foreign companies. Also the price of the minerals rose and mining in Finland became economically profitable. Expanding mining industry brought new challenges to radiation safety aspect since radioactive substances occur in nearly all minerals. In Finnish soil and bedrock the average crystal abundance of uranium and thorium are 2.8 ppm and 10 ppm, respectively. It cannot be predicted beforehand how radionuclides behave in the mining processes which why they need to be taken into account in mining activities. Radiation and Nuclear Safety Authority (STUK) has given a national guide ST 12.1 based on the Finnish Radiation Act. The guide sets the limits for radiation doses to the public also from mining activities. In general, no measures to limit the radiation exposure are needed, if the dose from the operation liable to cause exposure to natural radiation is no greater than 0.1 mSv per year above the natural background radiation dose. If the exposure of the public may be higher than 0.1 mSv per year, the responsible party must provide STUK a plan describing the measures by which the radiation exposure is to be kept as low as is reasonably achievable. In that case the mining company responsible company has to make a radiological baseline study. The baseline study must focus on the environment that the mining activities may impact. The study describes the occurrence of natural radioactivity in the environment before any mining activities are started. The baseline study lasts usually for two to three years in natural circumstances. Based on the baseline study measurements, detailed information of the existing levels of radioactivity in the environment can be attained. Once the mining activities begin, it is important that the limits are set for the wastewater discharges to the environment and environmental surveillance in the vicinity of

  5. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    OpenAIRE

    Qingliang Chang; Jianhang Chen; Huaqiang Zhou; Jianbiao Bai

    2014-01-01

    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology a...

  6. Data mining in Cloud Computing

    OpenAIRE

    Ruxandra-Ştefania PETRE

    2012-01-01

    This paper describes how data mining is used in cloud computing. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Every day people are confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs. Data mining techniques and applications are very much needed in the cloud computing paradigm. The implem...

  7. Concept of Web Usage Mining

    OpenAIRE

    Istrate Mihai

    2011-01-01

    Web mining is the use of data mining techniques to automatically discover and extract information from World Wide Web documents and services. This article considers the question: is effective Web mining possible? Skeptics believe that the Web is too unstructured for Web mining to succeed. Indeed, data mining has been applied to databases traditionally, yet much of the information on the Web lies buried in documents designed for human consumption such as home pages or product catalogs. Further...

  8. Languages for Mining and Learning

    OpenAIRE

    De Raedt, Luc

    2015-01-01

    Applying machine learning and data mining to novel applications is cumbersome. This observation is the prime motivation for the interest in languages for learning and mining. In this talk, I shall provide a gentle introduction to three types of languages that support machine learning and data mining: inductive query languages, which extend database query languages with primitives for mining and learning, modelling languages, which allow to declaratively specify and solve mining and learning p...

  9. Mine Maps as Grey Literature

    OpenAIRE

    Musser, Linda R. (Pennsylvania State University); GreyNet, Grey Literature Network Service

    2000-01-01

    Mine maps are extremely useful resources for determining regional and local hydrogeologic conditions as well as mineral resources and reserves. Users include mining companies, property owners concerned about risk factors related to mining activities, government inspectors, engineers and planners. Hundreds of thousands of mine maps exist yet how many are collected or cataloged by libraries or archives? This paper examines the characteristics of mine maps, how they are published, their value, a...

  10. Data mining in agriculture

    CERN Document Server

    Mucherino, Antonio; Pardalos, Panos M

    2009-01-01

    Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009.

  11. Ensemble Data Mining Methods

    Data.gov (United States)

    National Aeronautics and Space Administration — Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve...

  12. International mining forum 2004, new technologies in underground mining, safety in mines proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Jerzy Kicki; Eugeniusz Sobczyk (eds.)

    2004-01-15

    The book comprises technical papers that were presented at the International Mining Forum 2004. This event aims to bring together scientists and engineers in mining, rock mechanics, and computer engineering, with a view to explore and discuss international developments in the field. Topics discussed in this book are: trends in the mining industry; new solutions and tendencies in underground mines; rock engineering problems in underground mines; utilization and exploitation of methane; prevention measures for the control of rock bursts in Polish mines; and current problems in Ukrainian coal mines.

  13. Python data mining environments

    OpenAIRE

    Mrak, Aleš

    2012-01-01

    In the thesis we compare the systems for data mining that have an interface in the programming language Python. Many open-source systems for data mining and library had implemented their software interfaces to the Python programming language. They choose Python because it is fast and provides object-oriented programming, allows for the integration of other software libraries in Python and is implemented in all major operating systems (Windows, Linux / Unix, OS / 2, Mac, etc..). Our analysis s...

  14. Coal Mines Security System

    OpenAIRE

    Ankita Guhe; Shruti Deshmukh; Bhagyashree Borekar; Apoorva Kailaswar; Milind E. Rane

    2012-01-01

    Geological circumstances of mine seem to be extremely complicated and there are many hidden troubles. Coal is wrongly lifted by the musclemen from coal stocks, coal washeries, coal transfer and loading points and also in the transport routes by malfunctioning the weighing of trucks. CIL —Coal India Ltd is under the control of mafia and a large number of irregularities can be contributed to coal mafia. An Intelligent Coal Mine Security System using data acquisition method utilizes sensor, auto...

  15. MINING INDUSTRY IN CROATIA

    OpenAIRE

    Slavko Vujec

    1996-01-01

    The trends of World and European mine industry is presented with introductory short review. The mining industry is very important in economy of Croatia, because of cover most of needed petroleum and natural gas quantity, total construction raw materials and industrial non-metallic raw minerals. Detail quantitative presentation of mineral raw material production is compared with pre-war situation. The value of annual production is represented for each raw mineral (the paper is published in Cro...

  16. MINING INDUSTRY IN CROATIA

    Directory of Open Access Journals (Sweden)

    Slavko Vujec

    1996-12-01

    Full Text Available The trends of World and European mine industry is presented with introductory short review. The mining industry is very important in economy of Croatia, because of cover most of needed petroleum and natural gas quantity, total construction raw materials and industrial non-metallic raw minerals. Detail quantitative presentation of mineral raw material production is compared with pre-war situation. The value of annual production is represented for each raw mineral (the paper is published in Croatian.

  17. Applied data mining

    CERN Document Server

    Xu, Guandong

    2013-01-01

    Data mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas.

  18. Web Mining: An Overview

    Directory of Open Access Journals (Sweden)

    P. V. G. S. Mudiraj B. Jabber K. David raju

    2011-12-01

    Full Text Available Web usage mining is a main research area in Web mining focused on learning about Web users and their interactions with Web sites. The motive of mining is to find users’ access models automatically and quickly from the vast Web log data, such as frequent access paths, frequent access page groups and user clustering. Through web usage mining, the server log, registration information and other relative information left by user provide foundation for decision making of organizations. This article provides a survey and analysis of current Web usage mining systems and technologies. There are generally three tasks in Web Usage Mining: Preprocessing, Pattern analysis and Knowledge discovery. Preprocessing cleans log file of server by removing log entries such as error or failure and repeated request for the same URL from the same host etc... The main task of Pattern analysis is to filter uninteresting information and to visualize and interpret the interesting pattern to users. The statistics collected from the log file can help to discover the knowledge. This knowledge collected can be used to take decision on various factors like Excellent, Medium, Weak users and Excellent, Medium and Weak web pages based on hit counts of the web page in the web site. The design of the website is restructured based on user’s behavior or hit counts which provides quick response to the web users, saves memory space of servers and thus reducing HTTP requests and bandwidth utilization. This paper addresses challenges in three phases of Web Usage mining along with Web Structure Mining.This paper also discusses an application of WUM, an online Recommender System that dynamically generates links to pages that have not yet been visited by a user and might be of his potential interest. Differently from the recommender systems proposed so far, ONLINE MINER does not make use of any off-line component, and is able to manage Web sites made up of pages dynamically generated.

  19. Data mining in radiology

    OpenAIRE

    Amit T Kharat; Amarjit Singh; Kulkarni, Vilas M; Digish Shah

    2014-01-01

    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed dec...

  20. Investigation and characterization of mining subsidence in Kaiyang Phosphorus Mine

    Institute of Scientific and Technical Information of China (English)

    DENG Jian; BIAN Li

    2007-01-01

    In Kaiyang Phosphorus Mine, serious environmental and safety problems are caused by large scale mining activities in the past 40 years. These problems include mining subsidence, low recovery ratio, too much dead ore in pillars, and pollution of phosphorus gypsum. Mining subsidence falls into four categories: curved ground and mesa, ground cracks and collapse hole, spalling and eboulement, slope slide and creeping. Measures to treat the mining subsidence were put forward: finding out and managing abandoned stopes, optimizing mining method (cut and fill mining method), selecting proper backfilling materials (phosphogypsum mixtures), avoiding disorder mining operation, and treating highway slopes. These investigations and engineering treatment methods are believed to be able to contribute to the safety extraction of ore and sustainable development in Kaiyang Phosphorus Mine.

  1. Coal mining in Ramagundam

    Energy Technology Data Exchange (ETDEWEB)

    Chakraberty, S.

    1979-07-01

    The Ramagundam area in the South Godavari Coalfield is one of the most promising coal-bearing belts in India. It contains total coal reserves of about 1,132,000,000 tons in an area of approximately 150 square kilometers, and holds high potential for development into a vast industrial center. During the past four years production has doubled to 3,500,000 tons in 1978 to 1979. By 1983 to 1984, the total output per year is planned to be doubled again. Increased mechanization and the introduction of more advanced mining techniques will help to achieve this goal. In addition to the present face machinery, i.e., gathering arm loaders/shuttle cars and side dump loaders/chain conveyor combinations, the latest Voest-Alpine AM50 tunneling and roadheading machines have been commissioned for development work. Load-haul-dump machines will be introduced in the near future to ensure higher loading/transport capacities. A double-drum shearer loader with self-advancing supports is due to be commissioned shortly for faster, more efficient longwall mining to supplement conventional bord and pillar mining. In addition, a mechanized open cast mine has come on stream, and a walking dragline will soon be delivered to the mine for removing overburden. The projected annual output from this mine will be about 2,000,000 tons. (LTN)

  2. Modern geodesy approach in underground mining

    OpenAIRE

    Mijalkovski, Stojance; Despodov, Zoran; Gorgievski, Cvetan; Bogdanovski, Goran; Mirakovski, Dejan; Hadzi-Nikolova, Marija; Doneva, Nikolinka

    2013-01-01

    This paper presents overview of the development of modern geodesy approach in underground mining. Correct surveying measurements have great importance in mining, especially underground mining as well as a major impact on safety in the development of underground mining facilities.

  3. Colombia, mining country. Vision a year 2019

    International Nuclear Information System (INIS)

    Scope of the state action for the mining sector, the performance of the mining sector, regional perceptions of mining development, construction of a long-term vision for the mining sector, the action plan and goals follow-up

  4. Journey from Data Mining to Web Mining to Big Data

    OpenAIRE

    Gupta, Richa

    2014-01-01

    This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big data today using fast and novel approaches.

  5. Mining and the environment

    International Nuclear Information System (INIS)

    The proceedings contain 30 contributions, out of which 9 have been inputted in INIS. They are concerned with uranium mines and mills in the Czech Republic. The impacts of the mining activities and of the mill tailings on the environment and the population are assessed, and it is concluded that the radiation hazard does not exceed that from natural background. Considerable attention is paid to the monitoring of the surroundings of mines and mills and to landscaping activities. Proposed technologies for the purification of waste waters from the chemical leaching process are described. Ways to eliminate environmental damage from abandoned tailings settling ponds are suggested. (M.D.). 18 tabs., 21 figs., 43 refs

  6. Overview of solution mining

    International Nuclear Information System (INIS)

    This paper deals with in situ solution mining. A significant fraction of known U.S. uranium reserves occur as low grade mineralization in sedimentary sandstone deposits located between 40 and 200 meters subsurface. For a variety of reasons, such deposits may not be economically developable by any method other than in situ solution mining. This coupled with the current market price of uranium has led to significant development and application of in situ solution mining for uranium production during the past several years. The process consists of the ore body; well field; lixiviant; uranium recovery process; waste treatment processes; and aquifer restoration. A tabulation of firms involved with a summary of the leach chemistry used is given. 3 refs

  7. Data mining methods

    CERN Document Server

    Chattamvelli, Rajan

    2015-01-01

    DATA MINING METHODS, Second Edition discusses both theoretical foundation and practical applications of datamining in a web field including banking, e-commerce, medicine, engineering and management. This book starts byintroducing data and information, basic data type, data category and applications of data mining. The second chapterbriefly reviews data visualization technology and importance in data mining. Fundamentals of probability and statisticsare discussed in chapter 3, and novel algorithm for sample covariants are derived. The next two chapters give an indepthand useful discussion of data warehousing and OLAP. Decision trees are clearly explained and a new tabularmethod for decision tree building is discussed. The chapter on association rules discusses popular algorithms andcompares various algorithms in summary table form. An interesting application of genetic algorithm is introduced inthe next chapter. Foundations of neural networks are built from scratch and the back propagation algorithm is derived...

  8. Personal continuous route pattern mining

    Institute of Scientific and Technical Information of China (English)

    Qian YE; Ling CHEN; Gen-cai CHEN

    2009-01-01

    In the daily life, people often repeat regular routes in certain periods. In this paper, a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of personal moving status, the mining system employs the adaptive GPS data recording and five data filters to guarantee the clean trips data. The mining system uses a client/server architecture to protect personal privacy and to reduce the computational load. The server conducts the main mining procedure but with insufficient information to recover real personal routes. In order to improve the scalability of sequential pattern mining, a novel pattern mining algorithm, continuous route pattern mining (CRPM), is proposed. This algorithm can tolerate the different disturbances in real routes and extract the frequent patterns. Experimental results based on nine persons' trips show that CRPM can extract more than two times longer route patterns than the traditional route pattern mining algorithms.

  9. Databases for Data Mining

    OpenAIRE

    LANGOF, LADO

    2015-01-01

    This work is about looking for synergies between data mining tools and databa\\-se management systems (DBMS). Imagine a situation where we need to solve an analytical problem using data that are too large to be processed solely inside the main physical memory and at the same time too small to put data warehouse or distributed analytical system in place. The target area is therefore a single personal computer that is used to solve data mining problems. We are looking for tools that allows us to...

  10. Mining protein structure data

    OpenAIRE

    Santos, José Carlos Almeida

    2006-01-01

    The principal topic of this work is the application of data mining techniques, in particular of machine learning, to the discovery of knowledge in a protein database. In the first chapter a general background is presented. Namely, in section 1.1 we overview the methodology of a Data Mining project and its main algorithms. In section 1.2 an introduction to the proteins and its supporting file formats is outlined. This chapter is concluded with section 1.3 which defines that main problem we...

  11. Mining multidimensional distinct patterns

    OpenAIRE

    Kubendranathan, Thusjanthan

    2010-01-01

    How do we find the dominant groups of customers in age, sex and location that were responsible for at least 85% of the sales of iPad, Macbook and iPhone? To answer such types of questions we introduce a novel data mining task – mining multidimensional distinct patterns (DPs). Given a multidimensional data set where each tuple carries some attribute values and a transaction, multidimensional DPs are itemsets whose absolute support ratio in a group-by on the attributes against the rest of the d...

  12. Data mining mobile devices

    CERN Document Server

    Mena, Jesus

    2013-01-01

    With today's consumers spending more time on their mobiles than on their PCs, new methods of empirical stochastic modeling have emerged that can provide marketers with detailed information about the products, content, and services their customers desire.Data Mining Mobile Devices defines the collection of machine-sensed environmental data pertaining to human social behavior. It explains how the integration of data mining and machine learning can enable the modeling of conversation context, proximity sensing, and geospatial location throughout large communities of mobile users

  13. First aid at mines

    Energy Technology Data Exchange (ETDEWEB)

    1993-01-01

    This Code of Practice has been approved by the Health and Safety Commission with the consent of the Secretary of State under section 16 of the Health and Safety at Work etc. Act 1974. It gives practical guidance on the requirements placed on employers and self-employed persons by the Health and Safety (First-Aid) Regulations 1981 as they now apply to mines and comes into effect on 1 October 1993 which is the date on which the Management and Administration of Safety and Health at Mines Regulations 1993 come into force.

  14. Blockchain Mining Games

    OpenAIRE

    Kiayias, Aggelos; Koutsoupias, Elias; Kyropoulou, Maria; Tselekounis, Yiannis

    2016-01-01

    We study the strategic considerations of miners participating in the bitcoin's protocol. We formulate and study the stochastic game that underlies these strategic considerations. The miners collectively build a tree of blocks, and they are paid when they create a node (mine a block) which will end up in the path of the tree that is adopted by all. Since the miners can hide newly mined nodes, they play a game with incomplete information. Here we consider two simplified forms of this game in wh...

  15. Data mining for dummies

    CERN Document Server

    Brown, Meta S

    2014-01-01

    Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business''s entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn''t take a data scientist to gain

  16. Pervasive data mining engine

    OpenAIRE

    Peixoto, Rui Daniel Ferreira

    2015-01-01

    Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação As ferramentas de Data Mining atuais necessitam de um conhecimento aprofundado na área para obter resultados otimizados. Esta dissertação apresenta como questão de investigação analisar “A viabilidade da construção de um sistema de Data Mining semiautónomo com características pervasive, sem perder a sua identidade e funcionalidades” e como objetivo desenvolver um protótipo de um sistema designado Pervasive D...

  17. WIRELESS MINE WIDE TELECOMMUNICATIONS TECHNOLOGY

    International Nuclear Information System (INIS)

    Two industrial prototype units for through-the-earth wireless communication were constructed and tested. Preparation for a temporary installation in NIOSH's Lake Lynn mine for the through-the-earth and the in-mine system were completed. Progress was made in the programming of the in-mine system to provide data communication. Work has begun to implement a wireless interface between equipment controllers and our in-mine system

  18. Neural Networks in Data Mining

    OpenAIRE

    Priyanka Gaur

    2012-01-01

    The application of neural networks in the data mining is very wide. Although neural networks may have complex structure, long training time, and uneasily understandable representation of results, neural networks have high acceptance ability for noisy data and high accuracy and are preferable in data mining. In this paper the data mining based on neural networks is researched in detail, and the key technology and ways to achieve the data mining based on neural networks are also researched.

  19. DATA MINING TECHNIQUES AND APPLICATIONS

    OpenAIRE

    . Ramageri; Bharati M.

    2010-01-01

    Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms and some of the organizations which have adapted data mining technology to improve their businesses and found excellent results.

  20. 76 FR 63238 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines

    Science.gov (United States)

    2011-10-12

    ... Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines, published on August 31... Mining Machines in Underground Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION... Mining Machines in Underground Coal Mines. Due to requests from the public and to provide...

  1. Frequent pattern mining

    CERN Document Server

    Aggarwal, Charu C

    2014-01-01

    Proposes numerous methods to solve some of the most fundamental problems in data mining and machine learning Presents various simplified perspectives, providing a range of information to benefit both students and practitioners Includes surveys on key research content, case studies and future research directions

  2. Contextual Text Mining

    Science.gov (United States)

    Mei, Qiaozhu

    2009-01-01

    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  3. Lunabotics Mining Competition

    Science.gov (United States)

    Mueller, Rob; Murphy, Gloria

    2010-01-01

    This slide presentation describes a competition to design a lunar robot (lunabot) that can be controlled either remotely or autonomously, isolated from the operator, and is designed to mine a lunar aggregate simulant. The competition is part of a systems engineering curriculum. The 2010 competition winners in five areas of the competition were acknowledged, and the 2011 competition was announced.

  4. Coal Mines Security System

    Directory of Open Access Journals (Sweden)

    Ankita Guhe

    2012-05-01

    Full Text Available Geological circumstances of mine seem to be extremely complicated and there are many hidden troubles. Coal is wrongly lifted by the musclemen from coal stocks, coal washeries, coal transfer and loading points and also in the transport routes by malfunctioning the weighing of trucks. CIL —Coal India Ltd is under the control of mafia and a large number of irregularities can be contributed to coal mafia. An Intelligent Coal Mine Security System using data acquisition method utilizes sensor, automatic detection, communication and microcontroller technologies, to realize the operational parameters of the mining area. The data acquisition terminal take the PIC 16F877A chip integrated circuit as a core for sensing the data, which carries on the communication through the RS232 interface with the main control machine, which has realized the intelligent monitoring. Data management system uses EEPROM chip as a Black box to store data permanently and also use CCTV camera for recording internal situation. The system implements the real-time monitoring and displaying for data undermine, query, deletion and maintenance of history data, graphic statistic, report printing, expert diagnosis and decision-making support. The Research, development and Promote Application will provide the safeguard regarding the mine pit control in accuracy, real-time capacity and has high reliability.

  5. Design and implementation of data mining tools

    CERN Document Server

    Thuraisingham, Bhavani; Awad, Mamoun

    2009-01-01

    DATA MINING TECHNIQUES AND APPLICATIONS IntroductionTrendsData Mining Techniques and ApplicationsData Mining for Cyber Security: Intrusion DetectionData Mining for Web: Web Page Surfing PredictionData Mining for Multimedia: Image ClassificationOrganization of This BookNext StepsData Mining TechniquesIntroductionOverview of Data Mining Tasks and TechniquesArtificial Neural NetworksSupport Vector MachinesMarkov ModelAssociation Rule Mining (ARM)Multiclass ProblemImage MiningSummaryData Mining ApplicationsIntroductionIntrusion DetectionWeb Page Surfing PredictionImage ClassificationSummaryDATA MI

  6. Mining and environment

    International Nuclear Information System (INIS)

    In order to obtain the best social and environmental results from mining activities, different solutions, which involve a variety of perspectives, have been proposed. These include the worldwide perspective based in the economy globalization paradigms; the regional perspective, focused in the integration of countries; the national perspective, which emphasizes the natural assets and development options, and finally a local perspective is incorporated to account for the participation of directly affected communities. Within this framework, the mining industry is requested to develop both technological and managerial tools appropriate to evaluate, optimize and communicate the social and environmental performance and output of its related activities, mainly in the developing countries. On the other hand, the governments have been committed to implement regulatory actions, of command and control type, based on an environmental legislation in line with the above mentioned perspectives and also to use economical instruments as a mean to accomplish environmental objectives. In Colombia the direct regulation methods have been traditionally used to prevent the environmental deterioration produced by mining activities, however, since the 1991 political constitution and the law 99 of 1993, the communities' participation and economical instruments were incorporated. A historic summary of the environmental legislation in our country from the early 70's up to now, showing its implications in mining is presented. Then a favorable tendency is indicated in the environmental improvement of the national extractive industry, accomplished as a result of the implementation of new strategies to minimize the impact of mining on the environment and to improve the well being of local communities

  7. Economic impact of world mining

    International Nuclear Information System (INIS)

    Mining plays a vital role in the economic development of many countries. The emerging economies are now major players in the production and availability of key commodities such as copper (70%), bauxite (40%), iron ore and precious metals. Mining also has a positive impact on the economy of many countries. Another impact of mining can be measured in terms of employment opportunities and income generation. Commercial scale mining provides employment and skills transfer to more than 2 million workers. The multiplier effect increases this benefit by a factor of between 2 and 5. The World Bank Mining Department has carried out an in-depth study on economic and social impact of mining at the community level in Chile, Peru, Bolivia, Papua New Guinea and Mali. This study demonstrates that there are substantial social and economic benefits to the community. The most positive cases are related to the growth of local small- and micro-enterprise activities. However, mining remains controversial, as true sustainable development is not only a matter of financial flows. Mining has also been associated with a number of economic and social problems. As a result there are questions about the sustainability of the economic outcome of mining. The contribution of mining to sustainable development needs to be considered in terms of economic and technical viability, ecological sustainability and social equity. To achieve this, governments, mining companies and local communities must work together to address these issues. (author)

  8. The application of data mining methods

    OpenAIRE

    Geng, Xiaoli

    2011-01-01

    Data mining is becoming more and more important. The aim of this thesis is to study and research data mining, to clarify the background, knowledge and method of data mining, and research some specific areas applications. The aim is also to experiment with an open software by mining some sample data, to prove the advantage and convenience of data mining. This thesis first introduces the basic concepts of data mining, such as the definition of data mining, its basic function, common methods...

  9. Text Mining for Neuroscience

    Science.gov (United States)

    Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis

    2011-06-01

    Text mining, sometimes alternately referred to as text analytics, refers to the process of extracting high-quality knowledge from the analysis of textual data. Text mining has wide variety of applications in areas such as biomedical science, news analysis, and homeland security. In this paper, we describe an approach and some relatively small-scale experiments which apply text mining to neuroscience research literature to find novel associations among a diverse set of entities. Neuroscience is a discipline which encompasses an exceptionally wide range of experimental approaches and rapidly growing interest. This combination results in an overwhelmingly large and often diffuse literature which makes a comprehensive synthesis difficult. Understanding the relations or associations among the entities appearing in the literature not only improves the researchers current understanding of recent advances in their field, but also provides an important computational tool to formulate novel hypotheses and thereby assist in scientific discoveries. We describe a methodology to automatically mine the literature and form novel associations through direct analysis of published texts. The method first retrieves a set of documents from databases such as PubMed using a set of relevant domain terms. In the current study these terms yielded a set of documents ranging from 160,909 to 367,214 documents. Each document is then represented in a numerical vector form from which an Association Graph is computed which represents relationships between all pairs of domain terms, based on co-occurrence. Association graphs can then be subjected to various graph theoretic algorithms such as transitive closure and cycle (circuit) detection to derive additional information, and can also be visually presented to a human researcher for understanding. In this paper, we present three relatively small-scale problem-specific case studies to demonstrate that such an approach is very successful in

  10. Mine Waste Disposal and Managements

    Energy Technology Data Exchange (ETDEWEB)

    Cheong, Young-Wook; Min, Jeong-Sik; Kwon, Kwang-Soo [Korea Institute of Geology Mining and Materials, Taejon (KR)] (and others)

    1999-12-01

    This research project deals with: Analysis and characterization of mine waste piles or tailings impoundment abandoned in mining areas; Survey of mining environmental pollution from mine waste impounds; Modelling of pollutants in groundwater around tailings impoundment; Demonstration of acid rock drainage from coal mine waste rock piles and experiment of seeding on waste rock surface; Development of a liner using tailings. Most of mine wastes are deposited on natural ground without artificial liners and capping for preventing contamination of groundwater around mine waste piles or containments. In case of some mine waste piles or containments, pollutants have been released to the environment, and several constituents in drainage exceed the limit of discharge from landfill site. Metals found in drainage exist in exchangeable fraction in waste rock and tailings. This means that if when it rains to mine waste containments, mine wastes can be pollutant to the environment by release of acidity and metals. As a result of simulation for hydraulic potentials and groundwater flow paths within the tailings, the simulated travel paths correlated well with the observed contaminant distribution. The plum disperse, both longitudinal and transverse dimensions, with time. Therefore liner system is a very important component in tailings containment system. As experimental results of liner development using tailings, tailings mixed with some portion of resin or cement may be used for liner because tailings with some additives have a very low hydraulic conductivity. (author). 39 refs.

  11. Alma Data Mining Toolkit

    Science.gov (United States)

    Friedel, Douglas; Looney, Leslie; Teuben, Peter J.; Pound, Marc W.; Rauch, Kevin P.; Mundy, Lee; Harris, Robert J.; Xu, Lisa

    2016-06-01

    ADMIT (ALMA Data Mining Toolkit) is a Python based pipeline toolkit for the creation and analysis of new science products from ALMA data. ADMIT quickly provides users with a detailed overview of their science products, for example: line identifications, line 'cutout' cubes, moment maps, and emission type analysis (e.g., feature detection). Users can download the small ADMIT pipeline product (web browser and command line interface available for this purpose. By analyzing multiple data cubes simultaneously, data mining between many astronomical sources and line transitions are possible. Users are also able to enhance the capabilities of ADMIT by creating customized ADMIT tasks satisfying any special processing needs. We will present some of the salient features of ADMIT and example use cases.

  12. Ontario's uranium mining industry

    International Nuclear Information System (INIS)

    This report traces the Ontario uranium mining industry from the first discovery of uranium north of Sault Ste. Marie through the uranium boom of the 1950's when Elliot Lake and Bancroft were developed, the cutbacks of the 1960s, the renewed enthusiasm in exploration and development of the 1970s to the current position when continued production for the domestic market is assured. Ontario, with developed mines and operational expertise, will be in a position to compete for export markets as they reopen. The low level of expenditures for uranium exploration and the lack of new discoveries are noted. The report also reviews and places in perspective the development of policies and regulations governing the industry and the jurisdictional relationships of the Federal and Provincial governments

  13. Mining science data

    International Nuclear Information System (INIS)

    The data from Scientific simulations, observations, and experiments are now being measured in terabytes and will soon reach the petabyte regime. The size of the data, as well as its complexity, make it difficult to find useful information in the data. This is of course disconcerting to scientists who wonder about the science still undiscovered in the data. The Sapphire Scientific data mining project is addressing this concern by applying data mining techniques to problems ranging in size from a few megabytes to a hundred terabytes in a variety of domains. In this paper, we briefly describe our work in several applications, including the identification of key features for edge harmonic oscillations in the DIII-D tokamak, classification of orbits in a Poincare plot, and tracking of features of interest in experimental images

  14. Email Mining: A Survey

    Directory of Open Access Journals (Sweden)

    Pranjal S. Bogawar

    2012-01-01

    Full Text Available E-mail is one of the most widely used ways of written communication over the internet, and its traffic has increased exponentially with the advent of World Wide Web. The increase in email traffic comes also with an increase in the use of emails for illegitimate purpose. Phishing, Spamming, email bombing, threatening, cyber bullying, racial vilification, terrorist activities, child pornography and sexual harassment are common examples of e-mail abuses. So, there is a need for e-mail mining. Various methods and approaches were used by the scientists for classification of email messages in above categories. In this paper we are presenting various techniques and approaches used by researchers for email mining and subsequent classification.

  15. Action Rules Mining

    CERN Document Server

    Dardzinska, Agnieszka

    2013-01-01

    We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users.   Action rules mining discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes...

  16. Phosphate Mines, Jordan

    Science.gov (United States)

    2008-01-01

    Jordan's leading industry and export commodities are phosphate and potash, ranked in the top three in the world. These are used to make fertilizer. The Jordan Phosphate Mines Company is the sole producer, having started operations in 1935. In addition to mining activities, the company produces phosphoric acid (for fertilizers, detergents, pharmaceuticals), diammonium phosphate (for fertilizer), sulphuric acid (many uses), and aluminum fluoride (a catalyst to make aluminum and magnesium). The image covers an area of 27.5 x 49.4 km, was acquired on September 17, 2005, and is located near 30.8 degrees north latitude, 36.1 degrees east longitude. The U.S. science team is located at NASA's Jet Propulsion Laboratory, Pasadena, Calif. The Terra mission is part of NASA's Science Mission Directorate.

  17. Email Mining: A Survey

    OpenAIRE

    Pranjal S. Bogawar; Kishor K. Bhoyar

    2012-01-01

    E-mail is one of the most widely used ways of written communication over the internet, and its traffic has increased exponentially with the advent of World Wide Web. The increase in email traffic comes also with an increase in the use of emails for illegitimate purpose. Phishing, Spamming, email bombing, threatening, cyber bullying, racial vilification, terrorist activities, child pornography and sexual harassment are common examples of e-mail abuses. So, there is a need for e-mail mining. Va...

  18. Mining unstructured software data

    OpenAIRE

    Bacchelli, Alberto; Lanza, Michele

    2013-01-01

    Our thesis is that the analysis of unstructured data supports software understanding and evolution analysis, and complements the data mined from structured sources. To this aim, we implemented the necessary toolset and investigated methods for exploring, exposing, and exploiting unstructured data.To validate our thesis, we focused on development email data. We found two main challenges in using it to support program comprehension and software development: The disconnection between emai...

  19. Text Mining: (Asynchronous Sequences

    Directory of Open Access Journals (Sweden)

    Sheema Khan

    2014-12-01

    Full Text Available In this paper we tried to correlate text sequences those provides common topics for semantic clues. We propose a two step method for asynchronous text mining. Step one check for the common topics in the sequences and isolates these with their timestamps. Step two takes the topic and tries to give the timestamp of the text document. After multiple repetitions of step two, we could give optimum result.

  20. Study of Spanish mining accidents using data mining techniques

    OpenAIRE

    Sanmiquel Pera, Lluís; Rossell Garriga, Josep Maria; Vintró Sánchez, Carla

    2015-01-01

    Mining is an economic sector with a high number of accidents. Mines are hazardous places and workers can suffer a wide variety of injuries. Utilizing a database composed of almost 70,000 occupational accidents and fatality reports corresponding to the decade 2003–2012 in the Spanish mining sector, the paper analyzes the main causes of those accidents. To carry out the study, powerful statistical tools have been applied, such as Bayesian classi¿ers, decision trees or contingency t...

  1. Evolution of Acid Mine Drainage Formation in Sulphidic Mine Tailings

    OpenAIRE

    Bernhard Dold

    2014-01-01

    Sulphidic mine tailings are among the largest mining wastes on Earth and are prone to produce acid mine drainage (AMD). The formation of AMD is a sequence of complex biogeochemical and mineral dissolution processes. It can be classified in three main steps occurring from the operational phase of a tailings impoundment until the final appearance of AMD after operations ceased: (1) During the operational phase of a tailings impoundment the pH-Eh regime is normally alkaline to neutral and reduci...

  2. Data Mining and Analysis

    Science.gov (United States)

    Samms, Kevin O.

    2015-01-01

    The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts, and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view large data sets is difficult to impossible. In the first phase of the Data Mining project a portal was created to present a common visualization of normalized sensitive data to customers with the appropriate security access. The tool of the visualization itself was also developed and fine-tuned. In the second phase of the project we took on the difficult task of searching and analyzing the target data set for common causes between anomalies. In the final part of the second phase we have learned more about how much of the analysis work will be the job of the Data Mining team, how to perform that work, and how that work may be used by different customers in different ways. In this paper I detail how our perspective has changed after gaining more insight into how the customers wish to interact with the output and how that has changed the product.

  3. GIS and Urban Mining

    Directory of Open Access Journals (Sweden)

    Xuan Zhu

    2014-03-01

    Full Text Available Geographical information systems (GIS are a kind of location intelligence technology that supports systematic collection, integration, analysis and sharing of spatial data. They provide an effective tool for characterising and visualising geographical distributions of recyclable resources or materials dispersed across urban environments in what may be described as “urban mines”. As logistics can be a key barrier to recycling, GIS are critical for capturing and analysing location intelligence about the distribution and values of recyclable resources and associated collection systems to effectively empower and inform the policy makers and the broader community with comprehensive, accurate and accessible information. This paper reviews the functionality of modern GIS, discusses the potential role of GIS in urban mining studies, and describes how GIS can be used to measure, report, analyse and visualise the spatial or geographical characteristics of dispersed stocks of recyclable waste and their collection and recovery systems. Such information can then be used to model material flows and assess the social and environmental impacts of urban mining. Issues and challenges in the use of GIS for urban mining are also to be addressed.

  4. Organizational Data Mining

    Science.gov (United States)

    Nemati, Hamid R.; Barko, Christopher D.

    Many organizations today possess substantial quantities of business information but have very little real business knowledge. A recent survey of 450 business executives reported that managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. To reverse this trend, businesses of all sizes would be well advised to adopt Organizational Data Mining (ODM). ODM is defined as leveraging Data Mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage. ODM has helped many organizations optimize internal resource allocations while better understanding and responding to the needs of their customers. The fundamental aspects of ODM can be categorized into Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the key distinction between ODM and Data Mining. In this chapter, we introduce ODM, explain its unique characteristics, and report on the current status of ODM research. Next we illustrate how several leading organizations have adopted ODM and are benefiting from it. Then we examine the evolution of ODM to the present day and conclude our chapter by contemplating ODM's challenging yet opportunistic future.

  5. Disaster prediction of coal mine gas based on data mining

    Institute of Scientific and Technical Information of China (English)

    SHAO Liang-shan; FU Gui-xiang

    2008-01-01

    The technique of data mining was provided to predict gas disaster in view of thecharacteristics of coal mine gas disaster and feature knowledge based on gas disaster.The rough set theory was used to establish data mining model of gas disaster prediction,and rough set attributes relations was discussed in prediction model of gas disaster tosupplement the shortages of rough intensive reduction method by using information en-tropy criteria. The effectiveness and practicality of data mining technology in the predictionof gas disaster is confirmed through practical application.

  6. Text mining library for Orange data mining suite

    OpenAIRE

    Novak, David

    2016-01-01

    We have developed a text mining system that can be used as an add-on for Orange, a data mining platform. Orange envelops a set of supervised and unsupervised machine learning methods that benefit a typical text mining platform and therefore offers an excellent foundation for development. We have studied the field of text mining and reviewed several open-source toolkits to define its base components. We have included widgets that enable retrieval of data from remote repositories, such as PubMe...

  7. Sweeping changes for mine warfare : controlling the mine threat

    OpenAIRE

    Cashman, T. Michael

    1994-01-01

    This thesis proposes that the U.S. Navy deter and, if necessary, combat potential minelayers by pursuing a pro-active' offensive mine warfare strategy. Central to this proposed strategy is the development, acquisition, and use of Remote Controlled (RECO) mines. It is argued that, given the historical problems the United States has had in the area of naval mine warfare, a strategy aimed at the aggressive deterrence of enemy mine laying be embraced so as to project forces ashore in future amphi...

  8. Analysis on Underground Coal Mining Subsidence Using Small Baseline InSAR in Yunjialing Mining Areas

    Science.gov (United States)

    Yan, Dapeng; Yang, Jin; Zeng, Qiming

    2013-01-01

    66.6 percent of China's energy production come from underground coal mining (fig. 1.) Hundreds of mining cities were affected by mining subsidence. Long-term underground mining activities ,which results in large areas of mined areas, are threatening the local ecological environment and people property.Coal mining development has become a major factor of restricting local economic and threatening the safety of future mine production. The research on mining subsidence takes a important practical significance.

  9. Economics of mining law

    Science.gov (United States)

    Long, K.R.

    1995-01-01

    Modern mining law, by facilitating socially and environmentally acceptable exploration, development, and production of mineral materials, helps secure the benefits of mineral production while minimizing environmental harm and accounting for increasing land-use competition. Mining investments are sunk costs, irreversibly tied to a particular mineral site, and require many years to recoup. Providing security of tenure is the most critical element of a practical mining law. Governments owning mineral rights have a conflict of interest between their roles as a profit-maximizing landowner and as a guardian of public welfare. As a monopoly supplier, governments have considerable power to manipulate mineral-rights markets. To avoid monopoly rent-seeking by governments, a competitive market for government-owned mineral rights must be created by artifice. What mining firms will pay for mineral rights depends on expected exploration success and extraction costs. Landowners and mining firms will negotlate respective shares of anticipated differential rents, usually allowing for some form of risk sharing. Private landowners do not normally account for external benefits or costs of minerals use. Government ownership of mineral rights allows for direct accounting of social prices for mineral-bearing lands and external costs. An equitable and efficient method is to charge an appropriate reservation price for surface land use, net of the value of land after reclamation, and to recover all or part of differential rents through a flat income or resource-rent tax. The traditional royalty on gross value of production, essentially a regressive income tax, cannot recover as much rent as a flat income tax, causes arbitrary mineral-reserve sterilization, and creates a bias toward development on the extensive margin where marginal environmental costs are higher. Mitigating environmental costs and resolving land-use conflicts require local evaluation and planning. National oversight ensures

  10. Spatio-Temporal Rule Mining

    DEFF Research Database (Denmark)

    Gidofalvi, Gyozo; Pedersen, Torben Bach

    2005-01-01

    Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the miniaturization of wireless communication devices pave the road for Location-Based Services (LBS). To achieve high quality for such services, spatio-temporal data mining techniques...... are needed. In this paper, we describe experiences with spatio-temporal rule mining in a Danish data mining company. First, a number of real world spatio-temporal data sets are described, leading to a taxonomy of spatio-temporal data. Second, the paper describes a general methodology that transforms...... the spatio-temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio-temporal rules for LBS. Finally, unique issues in spatio-temporal rule mining are identified and discussed....

  11. 30 CFR 819.21 - Auger mining: Protection of underground mining.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Auger mining: Protection of underground mining. 819.21 Section 819.21 Mineral Resources OFFICE OF SURFACE MINING RECLAMATION AND ENFORCEMENT... STANDARDS-AUGER MINING § 819.21 Auger mining: Protection of underground mining. Auger holes shall not...

  12. 30 CFR 77.1712 - Reopening mines; notification; inspection prior to mining.

    Science.gov (United States)

    2010-07-01

    ... to mining. 77.1712 Section 77.1712 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION... prior to mining. Prior to reopening any surface coal mine after it has been abandoned or declared... an authorized representative of the Secretary before any mining operations in such mine...

  13. Strategy for polymetallic nodule mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    Strategy for Polymetallic Nodule Mining Rahul Sharma Introduction Mining of nearshore and shallow water minerals on a commercial scale l as well as the exploration of deep seabed minerals is being extensively carried out by various countries ..lid wns... revenues, and providing preferential technical assistance to developing countries adversely affected by seabed production to help them broaden their economic base. Strategy for nodule mining A long term strategy needs to be worked out for large-scale nodule...

  14. Modern developments in image mining

    Institute of Scientific and Technical Information of China (English)

    Alfred; STEIN

    2008-01-01

    This paper presents some new developments in image mining. Image mining con-siders the chain from object identification from remote sensing images through modeling,tracking on a series of images and prediction,towards communication to stakeholders. Attention is given to image mining for vague and uncertain objects. Aspects of up-and down-scaling are addressed. We further consider in this paper both spatial interpolation and decision making. The paper is illustrated with several case studies.

  15. Text Mining Applications and Theory

    CERN Document Server

    Berry, Michael W

    2010-01-01

    Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning

  16. Sustainable Development in Estonian Mining

    OpenAIRE

    Šommet, J

    2013-01-01

    Importance and demand of high qualified mining material (carbonate rocks, oil shale) are growing nowadays. Deposits are widespread around the world. Is it possible to create the sustainability paradigm, that helps to manage quarries adequately to improve overall effectiveness of the company in total? This study focuses especially on the mining industry. This paper will introduce modern systems and a new one, that allows to make an indexation of the company by mining susta...

  17. Text Mining Infrastructure in R

    OpenAIRE

    Kurt Hornik; Ingo Feinerer; David Meyer

    2008-01-01

    During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining facilities in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysis methods, text clustering, text classiffication and string kernels. (authors' abstract)

  18. Data mining applications in healthcare.

    Science.gov (United States)

    Koh, Hian Chye; Tan, Gerald

    2005-01-01

    Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship management decisions, physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services. The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. This article explores data mining applications in healthcare. In particular, it discusses data mining and its applications within healthcare in major areas such as the evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse. It also gives an illustrative example of a healthcare data mining application involving the identification of risk factors associated with the onset of diabetes. Finally, the article highlights the limitations of data mining and discusses some future directions. PMID:15869215

  19. Sentiment Analysis and Opinion Mining

    CERN Document Server

    Liu, Bing

    2012-01-01

    Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions

  20. Managing and Mining Graph Data

    CERN Document Server

    Aggarwal, Charu C

    2010-01-01

    Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in t

  1. An affordable humanitarian mine detector

    Science.gov (United States)

    Daniels, David J.; Curtis, Paul; Amin, Rajan; Dittmer, Jon

    2004-09-01

    This paper describes the further development of the MINETECT affordable humanitarian mine detector produced by ERA Technology with sponsorship from the UK Department for International Development. Using a radically different patented approach from conventional ground penetrating radar (GPR) designs in terms of the man machine interface, MINETECT offers simplicity of use and affordability, both key factors in humanitarian demining operations. Following trials in 2002 and reported at SPIE 2002, further development work including research on classifying mines, based on data from planned trials in the United Kingdom, is presented. MINETECT has the capability of detecting completely non-metallic mines and offers a considerable improvement in hand-held mine detection.

  2. Feasibility Study on Continuous Mining Method in Deep Position of Jinchuan Nickel Mine, China

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Jinchuan nickel mine is the largest nickel mine in China. Cut-and-fill mining method with high density cementing materials is used in the mine. The original mining design divided the mining operation into two steps. The first step stopped the mining rooms and the second step stopped the pillars. Because the two-step method made big trouble for finally mining pillars and strongly limited the mining speed and production, it was successfully changed to a continuous cut-and-fill method without pillars. However, the mining operation in the mine has been down to 800m and the mining condition is getting worse and more complicated. Through systematical field investigations and 3-D FEM analysis, it is proved that the mining method without pillars is feasible for mining deeper orebodies in Jinchuan nickel mine.

  3. 07491 Executive Summary -- Mining Programs and Processes

    OpenAIRE

    Bernstein, Abraham; Gall, Harald; Zeller, Andreas

    2009-01-01

    The main goal of the seminar "Mining Programs and Processes" was to create a synergy between researchers of three communities, namely mining software repositories, data mining and machine learning, and empirical software engineering.

  4. SIAM 2007 Text Mining Competition dataset

    Data.gov (United States)

    National Aeronautics and Space Administration — Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining...

  5. Distributed Data Mining and Mining Multi-Agent Data

    Directory of Open Access Journals (Sweden)

    Dr. S Vidyavathi

    2010-07-01

    Full Text Available The problem of distributed data mining is very important in network problems. Ina distributed environment (such as a sensor or IP network, one has distributed probes placed at strategic locations within the network. The problem here is to be able to correlatethe data seen at the various probes, and discover patterns in the global data seen at all the different probes. There could be different models of distributed data mining here, but one could involve a NOC that collects data from the distributed sites, and another in which all sites are treated equally. The goal here obviously would be to minimize the amount of data shipped between the various sites — essentially, to reduce the communication overhead. In distributed mining, one problem is how to mine across multipleheterogeneous data sources: multi-database and multirelational mining. Another important new area is adversary data mining. In a growing number of domains — email spam, counter-terrorism, intrusiondetection/computer security, click spam, search engine spam, surveillance, fraud detection, shop bots, file sharing, etc. — data mining systems face adversaries that deliberately manipulate the data to sabotage them (e.g. make them produce false negatives. In this paper need to develop systems that explicitly take this into account, by combining data mining with game theory.

  6. Mining Frequent Max and Closed Sequential Patterns

    OpenAIRE

    Afshar, Ramin

    2002-01-01

    Although frequent sequential pattern mining has an important role in many data mining tasks, however, it often generates a large number of sequential patterns, which reduces its efficiency and effectiveness. For many applications mining all the frequent sequential patterns is not necessary, and mining frequent Max, or Closed sequential patterns will provide the same amount of information. Comparing to frequent sequential pattern mining, frequent Max, or Closed sequential pattern mining g...

  7. The French experience of post mining management

    OpenAIRE

    Didier, Christophe; Leloup, Jacques

    2006-01-01

    International audience; During the period, which follows mining exploitation, traditionally called "post-mining", many disorders may develop, sometimes just after mine closure but sometimes quite long time later. In addition to potential instability development (subsidence, collapses), some abandoned mining sites can be affected by severe hydrogeological disturbances (floods), dangerous mine gas emissions on surface or environmental degradation. The paper presents the French mining historical...

  8. Metodologias de Data Mining.

    OpenAIRE

    Mendes, Armando B.

    2011-01-01

    "Para se compreender o que é mais este termo criado pela indústria das novas tecnologias, pode começar-se por esclarecer o que não é. Certamente "data mining" não são simples consultas de bases de dados ou as tecnologias de integração de dados em bases de dados multidimensionais ou cubos de dados, ou mesmo um conjunto de algoritmos como redes neuronais, algoritmos genéticos, métodos estatísticos, etc.. A prospecção de dados é um processo ou uma metodologia para a descoberta de conhecimento qu...

  9. Hydraulic mining method

    Science.gov (United States)

    Huffman, Lester H.; Knoke, Gerald S.

    1985-08-20

    A method of hydraulically mining an underground pitched mineral vein comprising drilling a vertical borehole through the earth's lithosphere into the vein and drilling a slant borehole along the footwall of the vein to intersect the vertical borehole. Material is removed from the mineral vein by directing a high pressure water jet thereagainst. The resulting slurry of mineral fragments and water flows along the slant borehole into the lower end of the vertical borehole from where it is pumped upwardly through the vertical borehole to the surface.

  10. Education Roadmap for Mining Professionals

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2002-12-01

    This document represents the roadmap for education in the U.S. mining industry. It was developed based on the results of an Education Roadmap Workshop sponsored by the National Mining Association in conjunction with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Office of Industrial Technologies. The Workshop was held February 23, 2002 in Phoenix, Arizona.

  11. Coal Mine Methane in Russia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2009-07-01

    This paper discusses coal mine methane emissions (CMM) in the Russian Federation and the potential for their productive utilisation. It highlights specific opportunities for cost-effective reductions of CMM from oil and natural gas facilities, coal mines and landfills, with the aim of improving knowledge about effective policy approaches.

  12. Finding Gold in Data Mining

    Science.gov (United States)

    Flaherty, Bill

    2013-01-01

    Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…

  13. Process Mining Online Assessment Data

    Science.gov (United States)

    Pechenizkiy, Mykola; Trcka, Nikola; Vasilyeva, Ekaterina; van der Aalst, Wil; De Bra, Paul

    2009-01-01

    Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated through the use of different information systems. The results of data mining can be used for getting a better understanding of the underlying educational processes, for…

  14. Implications of Emerging Data Mining

    Science.gov (United States)

    Kulathuramaiyer, Narayanan; Maurer, Hermann

    Data Mining describes a technology that discovers non-trivial hidden patterns in a large collection of data. Although this technology has a tremendous impact on our lives, the invaluable contributions of this invisible technology often go unnoticed. This paper discusses advances in data mining while focusing on the emerging data mining capability. Such data mining applications perform multidimensional mining on a wide variety of heterogeneous data sources, providing solutions to many unresolved problems. This paper also highlights the advantages and disadvantages arising from the ever-expanding scope of data mining. Data Mining augments human intelligence by equipping us with a wealth of knowledge and by empowering us to perform our daily tasks better. As the mining scope and capacity increases, users and organizations become more willing to compromise privacy. The huge data stores of the ‚master miners` allow them to gain deep insights into individual lifestyles and their social and behavioural patterns. Data integration and analysis capability of combining business and financial trends together with the ability to deterministically track market changes will drastically affect our lives.

  15. Effective Mining of Protein Interactions

    OpenAIRE

    Rinaldi, F; Schneider, G; Kaljurand, K.; Clematide, S

    2009-01-01

    The detection of mentions of protein-protein interactions in the scientific literature has recently emerged as a core task in biomedical text mining. We present effective techniques for this task, which have been developed using the IntAct database as a gold standard, and have been evaluated in two text mining competitions.

  16. Deep underground mine without ventilation

    Energy Technology Data Exchange (ETDEWEB)

    Czubak, A. (Akademia Gorniczo-Hutnicza, Cracow (Poland))

    1991-09-01

    Considers the possibility of creating local air-conditioned spaces for reduced numbers of miners in deep mines instead of ventilating the whole mine space. Application of air-conditioned chambers (for rest) at depths of 600-1,400 m and work performed in individually cooled suits or executed with the aid of manipulators controlled from air-conditioned chambers at depths below 1,400 m is suggested. Advantages of operating a coal mine without ventilation are reviewed (simple mine structure, power savings, fire and explosion prevention by filling the whole mine space with nitrogen without the necessity of explosion-proof mining equipment). However, operating a mine without ventilation will require a high degree of mechanization, automatic machine control and application of robots. Miners could wear special cooled exposure suits. The method suggested is considered to be a solution to the problem of the thermal barrier in deep mining and to be cheaper than classical cooling of workings at depth. 5 refs.

  17. Groundwater impacts of solution mining

    International Nuclear Information System (INIS)

    In some cases the mining of certain minerals can be achieved without the large-scale excavations involved in open pit or shaft mining. Instead, water is used to liquify the desired mineral so that it can be readily removed without disturbing the host medium or intervening deposits. In Texas this solution mining technique is used in the mining of brines, sodium sulfate, sulfur, and uranium. The advantages stem from the nondisturbing nature of the method that leaves the surface and subsurface physically intact. This is advantageous not only during mining, but also upon its termination when there is a minimum restoration requirement of the terrain. However, in some cases these advantages may be somewhat offset when a considerable chemical restoration of a host aquifer is required. The situation is considerably different with the solution (in situ) mining of uranium since these deposits often occur in usable quality groundwater aquifers. There are twenty-eight permitted sites in Texas. Eight have not yet been mined. This paper discusses the solution mining of uranium in Texas

  18. Competitiveness of the mining sector

    International Nuclear Information System (INIS)

    The paper is based on the upgraded study of the evaluation of competitiveness of the Colombian mining sector, carried out for the UPME, in the year 2005, with base in this study, the conditions were examined offered for Colombia for the mining industry

  19. Escondida Mine, Chile

    Science.gov (United States)

    2002-01-01

    Full resolution visible and near-infrared image (1.4 MB) Full resolution shortwave infrared image (1.6 MB) This Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image covers 30 by 23 km (full images 30 x 37 km) in the Atacama Desert, Chile, and was acquired on April 23, 2000. The Escondida copper, gold, and silver open-pit mine is at an elevation of 3050 m, and began operations in 1990. Current capacity is 127,000 tons/day of ore; in 1999 production totaled 827,000 tons of copper, 150,000 ounces of gold, and 3.53 million ounces of silver. Primary concentrate of the ore is done on-site; the concentrate is then sent to the coast for further processing through a 170 km long, 9-inch pipe. Escondida is related geologically to three porphyry bodies intruded along the Chilean West Fissure Fault System. A high grade supergene cap overlies primary sulfide ore. The top image is a conventional 3-2-1 (near infrared, red, green) RGB composite. The bottom image displays shortwave infrared bands 4-6-8 (1.65um, 2.205um, 2.33um) in RGB, and highlights the different rock types present on the surface, as well as the changes caused by mining. Image courtesy NASA/GSFC/MITI/ERSDAC/JAROS, and U.S./Japan ASTER Science Team

  20. Data mining and education.

    Science.gov (United States)

    Koedinger, Kenneth R; D'Mello, Sidney; McLaughlin, Elizabeth A; Pardos, Zachary A; Rosé, Carolyn P

    2015-01-01

    An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from various educational technologies. EDM researchers are addressing questions of cognition, metacognition, motivation, affect, language, social discourse, etc. using data from intelligent tutoring systems, massive open online courses, educational games and simulations, and discussion forums. The data include detailed action and timing logs of student interactions in user interfaces such as graded responses to questions or essays, steps in rich problem solving environments, games or simulations, discussion forum posts, or chat dialogs. They might also include external sensors such as eye tracking, facial expression, body movement, etc. We review how EDM has addressed the research questions that surround the psychology of learning with an emphasis on assessment, transfer of learning and model discovery, the role of affect, motivation and metacognition on learning, and analysis of language data and collaborative learning. For example, we discuss (1) how different statistical assessment methods were used in a data mining competition to improve prediction of student responses to intelligent tutor tasks, (2) how better cognitive models can be discovered from data and used to improve instruction, (3) how data-driven models of student affect can be used to focus discussion in a dialog-based tutoring system, and (4) how machine learning techniques applied to discussion data can be used to produce automated agents that support student learning as they collaborate in a chat room or a discussion board.

  1. Introduction to Space Resource Mining

    Science.gov (United States)

    Mueller, Robert P.

    2013-01-01

    There are vast amounts of resources in the solar system that will be useful to humans in space and possibly on Earth. None of these resources can be exploited without the first necessary step of extra-terrestrial mining. The necessary technologies for tele-robotic and autonomous mining have not matured sufficiently yet. The current state of technology was assessed for terrestrial and extraterrestrial mining and a taxonomy of robotic space mining mechanisms was presented which was based on current existing prototypes. Terrestrial and extra-terrestrial mining methods and technologies are on the cusp of massive changes towards automation and autonomy for economic and safety reasons. It is highly likely that these industries will benefit from mutual cooperation and technology transfer.

  2. The hydrogen mine introduction initiative

    Energy Technology Data Exchange (ETDEWEB)

    Betournay, M.C.; Howell, B. [Natural Resources Canada, Ottawa, ON (Canada). CANMET Mining and Mineral Sciences Laboratories

    2009-07-01

    In an effort to address air quality concerns in underground mines, the mining industry is considering the use fuel cells instead of diesel to power mine production vehicles. The immediate issues and opportunities associated with fuel cells use include a reduction in harmful greenhouse gas emissions; reduction in ventilation operating costs; reduction in energy consumption; improved health benefits; automation; and high productivity. The objective of the hydrogen mine introduction initiative (HMII) is to develop and test the range of fundamental and needed operational technology, specifications and best practices for underground hydrogen power applications. Although proof of concept studies have shown high potential for fuel cell use, safety considerations must be addressed, including hydrogen behaviour in confined conditions. This presentation highlighted the issues to meet operational requirements, notably hydrogen production; delivery and storage; mine regulations; and hydrogen behaviour underground. tabs., figs.

  3. Web Mining and Social Networking

    DEFF Research Database (Denmark)

    Xu, Guandong; Zhang, Yanchun; Li, Lin

    sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.......This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web...... mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal...

  4. Ground water quality protection, mining and mining facilities in Utah

    International Nuclear Information System (INIS)

    Utah' s around water resources are extremely important to the health and economic well-being of the state's citizens. As a state second only to Nevada in aridity it depends heavily on ground water sources for water for the public, industry, and agriculture. Ground water furnishes about 20% of the state's total water needs and 66% of the public supplies. To protect this water source for current and future users, Utah has developed a Ground Water Policy and initiated the development of a ground water quality protection strategy. Included in the strategy development process was an assessment of the effects that mining and associated activities can have on ground water Quality. The effect mining has on ground water quality depends on the ore and gangue minerals, the mining method, the ore processing, and the method of disposal for waste rock, tailings, and excess mine and mill waters. Sulfide minerals will oxidize to form soluble sulfates and sulfuric acid when exposed to air. Underground, open pit, and solution mines differ in their impact on ground water quality as do the different ore processing methods conventional, heap leach, solar evaporation, etc. Finally, the methods selected for waste disposal are a major determinant of the impact on ground water quality by mining operations. In the future mining companies will need to give increased consideration to protecting ground water and other resources by designing in features to protect these resources from degradation

  5. Uranium mining sites - Thematic sheets

    International Nuclear Information System (INIS)

    A first sheet proposes comments, data and key numbers about uranium extraction in France: general overview of uranium mining sites, status of waste rock and tailings after exploitation, site rehabilitation. The second sheet addresses the sources of exposure to ionizing radiations due to ancient uranium mining sites: discussion on the identification of these sources associated with these sites, properly due to mining activities or to tailings, or due to the transfer of radioactive substances towards water and to the contamination of sediments, description of the practice and assessment of radiological control of mining sites. A third sheet addresses the radiological exposure of public to waste rocks, and the dose assessment according to exposure scenarios: main exposure ways to be considered, studied exposure scenarios (passage on backfilled path and grounds, stay in buildings built on waste rocks, keeping mineralogical samples at home). The fourth sheet addresses research programmes of the IRSN on uranium and radon: epidemiological studies (performed on mine workers; on French and on European cohorts, French and European studies on the risk of lung cancer associated with radon in housing), study of the biological effects of chronic exposures. The last sheet addresses studies and expertises performed by the IRSN on ancient uranium mining sites in France: studies commissioned by public authorities, radioactivity control studies performed by the IRSN about mining sites, participation of the IRSN to actions to promote openness to civil society

  6. Radioecological impacts of tin mining.

    Science.gov (United States)

    Aliyu, Abubakar Sadiq; Mousseau, Timothy Alexander; Ramli, Ahmad Termizi; Bununu, Yakubu Aliyu

    2015-12-01

    The tin mining activities in the suburbs of Jos, Plateau State, Nigeria, have resulted in technical enhancement of the natural background radiation as well as higher activity concentrations of primordial radionuclides in the topsoil of mining sites and their environs. Several studies have considered the radiological human health risks of the mining activity; however, to our knowledge no documented study has investigated the radiological impacts on biota. Hence, an attempt is made to assess potential hazards using published data from the literature and the ERICA Tool. This paper considers the effects of mining and milling on terrestrial organisms like shrubs, large mammals, small burrowing mammals, birds (duck), arthropods (earth worm), grasses, and herbs. The dose rates and risk quotients to these organisms are computed using conservative values for activity concentrations of natural radionuclides reported in Bitsichi and Bukuru mining areas. The results suggest that grasses, herbs, lichens, bryophytes and shrubs receive total dose rates that are of potential concern. The effects of dose rates to specific indicator species of interest are highlighted and discussed. We conclude that further investigation and proper regulations should be set in place in order to reduce the risk posed by the tin mining activity on biota. This paper also presents a brief overview of the impact of mineral mining on biota based on documented literature for other countries.

  7. Surface mining of mineral resources

    Energy Technology Data Exchange (ETDEWEB)

    Braeunig, H.D.

    1982-05-01

    This article outlines general advantages of surface mining technology and aspects of selecting the most suitable mining technology in surface mine projection. Heavy surface mining equipment of the TAKRAF engineering plants is recommended for efficient excavation and overburden removal up to 230,000 m/sup 3/d capacity with the largest excavator type and 440,000 m/sup 3/d capacity with the largest overburden conveyor bridge. Two major variants of surface mine technology are outlined: design of surface mines with continuous working equipment (bucket wheel or bucket chain excavators requiring up to 200 N/cm digging force for minerals and overburden and haulage by belt conveyors) or discontinuously working equipment (dragline excavators, truck transportation, etc.). The second major variant concerns overburden removal to the spoil bank, either by haulage in a semicircle around the pit or by a shortcut across the pit from the excavation to the spoil bank side (direct spoil removal method). TAKRAF equipment for surface mining operations is described with various specifications and details on its performance. (In German)

  8. Coal mining - custodian or culprit

    Energy Technology Data Exchange (ETDEWEB)

    Russell, C.

    1991-01-01

    Coal mining is a mainstay of the South African economy. Coal is used as a primary fuel, in the metallurgical and manufacturing sectors and is a considerable earner of foreign exchange. However coal mining has the potential to damage and disrupt the natural environment. The article, the second in a series on the mining industry and the environment, reports on whether South Africa's coal mining industry is playing its part in preserving the environment. Topics covered include: legislation, surface pollution i.e. rehabilitating open-cast mines and waste dumps, and surface subsidence; water pollution i.e. preventing, increase in water acidity; atmospheric pollution i.e. minimising the effects of coal dust, preventing methane contamination and minimising the effects of spontaneous combustion. Details are given of the nature of each problem and solutions adopted. The Chamber of Mines and its members have a history of self-regulation and proactive involvement in environmental management in the mining industry. Each year the industry spends more than 50 million rand on environmental rehabilitation and also funds research on more efficient and effective ways for the industry and the environment to co-exist. 8 photos.

  9. CEA and mining industry

    International Nuclear Information System (INIS)

    The French atomic energy commission (CEA) is involved in the mining industry in several ways: - in the front-end of the nuclear industry through its daughter companies and participations in the exploration and exploitation of uranium ores, but also of gold and alloy metals with a 26% participation in Eramet company, the world leader of manganese and nickel. This activity is the main occupation of Cogema daughter company, via the Areva holding; - in the back-end of the nuclear fuel cycle with the delicate problem of the management of radioactive wastes; - in parallel with the nuclear industry through an important activity in semiconductor materials (FCI and SMTElectronics); - and finally through various research works on several mineral compounds. This article focusses on the fuel cycle aspects of the CEA activities and concludes with the research works carried out today on thermonuclear fusion. (J.S.)

  10. Data Mining SIAM Presentation

    Science.gov (United States)

    Srivastava, Ashok; McIntosh, Dawn; Castle, Pat; Pontikakis, Manos; Diev, Vesselin; Zane-Ulman, Brett; Turkov, Eugene; Akella, Ram; Xu, Zuobing; Kumaresan, Sakthi Preethi

    2006-01-01

    This viewgraph document describes the data mining system developed at NASA Ames. Many NASA programs have large numbers (and types) of problem reports.These free text reports are written by a number of different people, thus the emphasis and wording vary considerably With so much data to sift through, analysts (subject experts) need help identifying any possible safety issues or concerns and help them confirm that they haven't missed important problems. Unsupervised clustering is the initial step to accomplish this; We think we can go much farther, specifically, identify possible recurring anomalies. Recurring anomalies may be indicators of larger systemic problems. The requirement to identify these anomalies has led to the development of Recurring Anomaly Discovery System (ReADS).

  11. Acid mine drainage: mining and water pollution issues in British Columbia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-12-31

    The importance of protecting water quality and some of the problems associated with mineral development are described. Negative impacts of mining operations such as sedimentation, water disturbances, and water pollution from waste rock and tailings are considered. Mining wastes, types of water pollution from mining, the legacy of acid mine drainage, predicting acid mine drainage, preventing and mitigating acid mine drainage, examples from the past, and cyanide heap-leaching are discussed. The real costs of mining at the Telkwa open pit coal mine are assessed. British Columbia mines that are known for or are potentially acid generating are shown on a map. 32 refs., 10 figs.

  12. Management of mining-related damages in abandoned underground coal mine areas using GIS

    International Nuclear Information System (INIS)

    The mining-related damages such as ground subsidence, acid mine drainage (AMD), and deforestation in the abandoned underground coal mine areas become an object of public concern. Therefore, the system to manage the mining-related damages is needed for the effective drive of rehabilitation activities. The management system for Abandoned Underground Coal Mine using GIS includes the database about mining record and information associated with the mining-related damages and application programs to support mine damage prevention business. Also, this system would support decision-making policy for rehabilitation and provide basic geological data for regional construction works in abandoned underground coal mine areas. (authors)

  13. Extensible Markup Language Data Mining System Model

    Institute of Scientific and Technical Information of China (English)

    李炜; 宋瀚涛

    2003-01-01

    The existing data mining methods are mostly focused on relational databases and structured data, but not on complex structured data (like in extensible markup language(XML)). By converting XML document type description to the relational semantic recording XML data relations, and using an XML data mining language, the XML data mining system presents a strategy to mine information on XML.

  14. THE RELIABILITY STUDY OF MINE DESIGN

    Institute of Scientific and Technical Information of China (English)

    彭世济; 张达贤; 习永峰; 卢明银; 孙洪泉

    1991-01-01

    The method of reliability analysis of mineral reserve estimation, mining construction, mining technological system and surface mine investment in mine design is discussed in this paper. On the basis of this method, the questions, such as "whether the planned production and predicted economic effectiveness could be obtained", can be answered, and corresponding measures can be taken.

  15. 30 CFR 282.24 - Mining Plan.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 2 2010-07-01 2010-07-01 false Mining Plan. 282.24 Section 282.24 Mineral... § 282.24 Mining Plan. All OCS mineral development and production activities shall be conducted in accordance with a Mining Plan submitted by the lessee and approved by the Director. A Mining Plan...

  16. MINE WASTE TECHNOLOGY PROGRAM: A SUCCESS STORY

    Science.gov (United States)

    Mining Waste generated by active and inactive mining operations is a growing problem for the mining industry, local governments, and Native American communities because of its impact on human health and the environment. In the US, the reported volume of mine waste is immense: 2 b...

  17. Mastering SQL Server 2014 data mining

    CERN Document Server

    Bassan, Amarpreet Singh

    2014-01-01

    If you are a developer who is working on data mining for large companies and would like to enhance your knowledge of SQL Server Data Mining Suite, this book is for you. Whether you are brand new to data mining or are a seasoned expert, you will be able to master the skills needed to build a data mining solution.

  18. 30 CFR 75.203 - Mining methods.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Mining methods. 75.203 Section 75.203 Mineral... SAFETY STANDARDS-UNDERGROUND COAL MINES Roof Support § 75.203 Mining methods. (a) The method of mining... faulty pillar recovery methods. Pillar dimensions shall be compatible with effective control of the...

  19. Mining for Inclusive Growth in Odisha, India

    OpenAIRE

    Kannan, Sridar P.; Veen, Peter

    2016-01-01

    This guidance note is about a recent mining boom in Odisha, that accelerated and diversified economic growth in the Indian state. However, the boom did not reduce poverty in the mining region. Meanwhile, unsustainable mining practices have severely affected the region’s air and water quality. Efforts to improve mining practices will require greater capacity for planning; reliable and timel...

  20. Collaborative Data Mining Tool for Education

    Science.gov (United States)

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; Gea, Miguel; de Castro, Carlos

    2009-01-01

    This paper describes a collaborative educational data mining tool based on association rule mining for the continuous improvement of e-learning courses allowing teachers with similar course's profile sharing and scoring the discovered information. This mining tool is oriented to be used by instructors non experts in data mining such that, its…

  1. A Collaborative Educational Association Rule Mining Tool

    Science.gov (United States)

    Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos

    2011-01-01

    This paper describes a collaborative educational data mining tool based on association rule mining for the ongoing improvement of e-learning courses and allowing teachers with similar course profiles to share and score the discovered information. The mining tool is oriented to be used by non-expert instructors in data mining so its internal…

  2. Electrokinetic remediation of copper mine tailings

    Energy Technology Data Exchange (ETDEWEB)

    Hansen, H. K.; Rojo, A.; Ottosen, L. M.

    2009-07-01

    The heavy metal contamination from mining industry has become a growing problem both in chile and worldwide. This contamination includes large areas with soil pollution, contaminated rivers and continuous generation of mining waste deposits. The solid waste that will be analysed is mine tailings, which are the residual products after the flotation process in conventional sulphide copper mining. (Author)

  3. 76 FR 70075 - Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines

    Science.gov (United States)

    2011-11-10

    ... Period On August 31, 2011 (76 FR 54163), MSHA published a proposed rule, Proximity Detection Systems for... Mining Machines in Underground Coal Mines AGENCY: Mine Safety and Health Administration, Labor. ACTION... addressing Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines....

  4. Mines and human casualties: a robotics approach toward mine clearing

    Science.gov (United States)

    Ghaffari, Masoud; Manthena, Dinesh; Ghaffari, Alireza; Hall, Ernest L.

    2004-10-01

    An estimated 100 million landmines which have been planted in more than 60 countries kill or maim thousands of civilians every year. Millions of people live in the vast dangerous areas and are not able to access to basic human services because of landmines" threats. This problem has affected many third world countries and poor nations which are not able to afford high cost solutions. This paper tries to present some experiences with the land mine victims and solutions for the mine clearing. It studies current situation of this crisis as well as state of the art robotics technology for the mine clearing. It also introduces a survey robot which is suitable for the mine clearing applications. The results show that in addition to technical aspects, this problem has many socio-economic issues. The significance of this study is to persuade robotics researchers toward this topic and to peruse the technical and humanitarian facets of this issue.

  5. First Mining workshop of Mining and metallurgical of MERCOSUR

    International Nuclear Information System (INIS)

    In the city of Montevideo, capital of the Oriental Republic of Uruguay, at 23 days of September 1994, under the First Meeting of Mercosur Mining Metallurgical, meet representatives of the mining sector in the countries signed the Treaty of Asuncion , attended as observers, authorities of the Republic of Bolivia and Ecuador and representatives of the productive labor, legislative and research. The primary objective is to integrate the mining sectors of those countries, taking into account the specificity of the mining, given by the resource it uses, the need for high-risk investment with slow recoveries of capital and infrastructure problems, taking into account leverage and its remarkable impact on the development of regional economies.

  6. Sustainable Development in Estonian Mining

    Science.gov (United States)

    Šommet, Julija

    2013-12-01

    Importance and demand of high qualified mining material (carbonate rocks, oil shale) are growing nowadays. Deposits are widespread around the world. Is it possible to create the sustainability paradigm, that helps to manage quarries adequately to improve overall effectiveness of the company in total? This study focuses especially on the mining industry. This paper will introduce modern systems and a new one, that allows to make an indexation of the company by mining sustainability index and gradation of the company by its wellness; also brings several benefits for future sustainable development.

  7. Mining Industry Energy Bandwidth Study

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2007-07-01

    The Industrial Technologies Program (ITP) relies on analytical studies to identify large energy reduction opportunities in energy-intensive industries and uses these results to guide its R&D portfolio. The energy bandwidth illustrates the total energy-saving opportunity that exists in the industry if the current processes are improved by implementing more energy-efficient practices and by using advanced technologies. This bandwidth analysis report was conducted to assist the ITP Mining R&D program in identifying energy-saving opportunities in coal, metals, and mineral mining. These opportunities were analyzed in key mining processes of blasting, dewatering, drilling, digging, ventilation, materials handling, crushing, grinding, and separations.

  8. Third symposium on underground mining

    Energy Technology Data Exchange (ETDEWEB)

    None

    1977-01-01

    The Third Symposium on Underground Mining was held at the Kentucky Fair and Exposition Center, Louisville, KY, October 18--20, 1977. Thirty-one papers have been entered individually into EDB and ERA. The topics covered include mining system (longwall, shortwall, room and pillar, etc.), mining equipment (continuous miners, longwall equipment, supports, roof bolters, shaft excavation equipment, monitoring and control systems. Maintenance and rebuilding facilities, lighting systems, etc.), ventilation, noise abatement, economics, accidents (cost), dust control and on-line computer systems. (LTN)

  9. Mining and Reclamation Technology Symposium

    Energy Technology Data Exchange (ETDEWEB)

    None Available

    1999-06-24

    The Mining and Reclamation Technology Symposium was commissioned by the Mountaintop Removal Mining/Valley Fill Environmental Impact Statement (EIS) Interagency Steering Committee as an educational forum for the members of the regulatory community who will participate in the development of the EIS. The Steering Committee sought a balanced audience to ensure the input to the regulatory community reflected the range of perspectives on this complicated and emotional issue. The focus of this symposium is on mining and reclamation technology alternatives, which is one of eleven topics scheduled for review to support development of the EIS. Others include hydrologic, environmental, ecological, and socio-economic issues.

  10. Mining High-Dimensional Data

    Science.gov (United States)

    Wang, Wei; Yang, Jiong

    With the rapid growth of computational biology and e-commerce applications, high-dimensional data becomes very common. Thus, mining high-dimensional data is an urgent problem of great practical importance. However, there are some unique challenges for mining data of high dimensions, including (1) the curse of dimensionality and more crucial (2) the meaningfulness of the similarity measure in the high dimension space. In this chapter, we present several state-of-art techniques for analyzing high-dimensional data, e.g., frequent pattern mining, clustering, and classification. We will discuss how these methods deal with the challenges of high dimensionality.

  11. Developments in surface mining technology

    Energy Technology Data Exchange (ETDEWEB)

    Klose, W. (TAKRAF-IFF GmbH, Leipzig (Germany, F.R.))

    1990-12-01

    Reviews heavy surface mining equipment series produced by the TAKRAF manufacturer in the FRG. TAKRAF has exported equipment to 18 countries; production has included over 400 bucket wheel excavators, 150 bucket chain excavators, 200 boom spreaders, 80 mobile transfer conveyors and 16 overburden conveyor bridges. Specifications are provided for high capacity bucket wheel excavators operating in Siberian and Greek coal mines, for direct spoil overcast combinations operating in Romania, Hungary and the USSR and for overburden conveyor bridges operating in the FRG. Equipment for small sized coal and mineral surface mines is also manufactured.

  12. Big Data Mining: Tools & Algorithms

    Directory of Open Access Journals (Sweden)

    Adeel Shiraz Hashmi

    2016-03-01

    Full Text Available We are now in Big Data era, and there is a growing demand for tools which can process and analyze it. Big data analytics deals with extracting valuable information from that complex data which can’t be handled by traditional data mining tools. This paper surveys the available tools which can handle large volumes of data as well as evolving data streams. The data mining tools and algorithms which can handle big data have also been summarized, and one of the tools has been used for mining of large datasets using distributed algorithms.

  13. Occupational radiation safety in mining

    International Nuclear Information System (INIS)

    The first International Conference on Occupational Radiation Safety in Mining was held three years ago in Golden, Colorado, U.S.A., and it provided an excellent forum for an exchange of information on the many scientific, technical and operational aspects of radiation safety in mining. I am aware of the broad spectrum of epidemiological, engineering and related studies which have been pursued during the past three years with a view to achieving further improvements in radiation protection and I expect that the information on these studies will contribute significantly to a wider understanding of subject, and in particular, the means by which radiation safety measures in mining can be optimized

  14. Instant RubyMine assimilation

    CERN Document Server

    Jones, Dave

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Get the job done and learn as you go. A practical guide comprising of easy-to-follow recipes which provide concise and clear steps to help you enter the world of RubyMine.Instant RubyMine is ideal for you, if you are new to RubyMine or well acquainted with the technology. All you need is basic knowledge of writing in Ruby or Ruby on Rails.

  15. Link mining models, algorithms, and applications

    CERN Document Server

    Yu, Philip S; Faloutsos, Christos

    2010-01-01

    This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer in structure, involving objects of multiple types that are related to each other. Hence, recently link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysi

  16. Mining induced seismicity in the Ruhr coal mining district, Germany

    Science.gov (United States)

    Fischer, Kasper D.; Wehling-Benatelli, Sebastian; Erstling, Stefanie; Brüstle, Andrea; Wlecklik, Dennis

    2013-04-01

    In 2012 four hard coal mines (at about 1000 m depth) were operating in Germany, three of them are in the Ruhr coal mining district. The mining method used (longwall mining in combination with caving) causes induced earthquakes due to the stress redistribution in the surrounding rock. Seismic events of magnitude 1.2 and larger are generally perceived by the population and thus trigger a wide interest. The Ruhr-University of Bochum routinely monitors the seismicity and its temporal evolution and energy release since the 1980s. The current seismological network consists of 14 stations (broad-band and short-period seismometers) in the Ruhr area. Six stations are located at the Ruhr-University Bochum at distances of approximately 20-40 km to the active coal fields. The remaining 8 stations are located in the vicinity of the mines (app. 1 to 5 km from the active mining). The magnitude of completeness is 0.9 throughout the entire Ruhr coal mining district with a local magnitude of completeness of 0.7 depending on the network configuration. In general, the identified earthquakes have a horizontal location uncertainty of 3 km. The routine detection and location of the seismicity is done by classical methods, e. g. based on first arrivals, and advanced methods like array techniques or cross-correlation of waveforms of master events with recorded seismograms from selected stations. Additionally selected event clusters are studied in more detail by reprocessing sub-datasets with methods like cluster analysis or consistent phase-picking. Reassessing this unique dataset of 30 years continuous recordings with newly developed methods and modern data processing techniques can provide new insights of the nature of mining induced seismicity. This methods may also be usable in the field of geothermal energy, unconventional hydrocarbon reservoirs or underground storage of carbon dioxide which also deals with the detection and handling of large amounts of small magnitude earthquakes.

  17. Environmental studies for deep seabed mining

    Digital Repository Service at National Institute of Oceanography (India)

    Sharma, R.

    of mining system and the difference in the scale of test mining as well as of the experiments conducted, many questions remain unanswered, which need to be considered in future. Introduction Deepsea mining has been a subject of interest around... tests of prototype mining systems and components in the Pacific Ocean in the seventies (DOMES, 1976). The subsequent progress in the development of mining technology for deep-sea minerals has been slow since 1980 due to unfavorable metal market...

  18. A Survey of Parallel Data Mining

    OpenAIRE

    Freitas, Alex A

    1998-01-01

    With the fast, continuous increase in the number and size of databases, parallel data mining is a natural and cost-effective approach to tackle the problem of scalability in data mining. Recently there has been a considerable research on parallel data mining. However, most projects focus on the parallelization of a single kind of data mining algorithm/paradigm. This paper surveys parallel data mining with a broader perspective. More precisely, we discuss the parallelization of ...

  19. Data mining theories, algorithms, and examples

    CERN Document Server

    Ye, Nong

    2013-01-01

    AN OVERVIEW OF DATA MINING METHODOLOGIESIntroduction to data mining methodologiesMETHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNSRegression modelsBayes classifiersDecision treesMulti-layer feedforward artificial neural networksSupport vector machinesSupervised clusteringMETHODOLOGIES FOR MINING CLUSTERING AND ASSOCIATION PATTERNSHierarchical clusteringPartitional clusteringSelf-organized mapProbability distribution estimationAssociation rulesBayesian networksMETHODOLOGIES FOR MINING DATA REDUCTION PATTERNSPrincipal components analysisMulti-dimensional scalingLatent variable anal

  20. Semantic Web Mining: Benefits, Challenges and Opportunities

    OpenAIRE

    Syeda Farha Shazmeen, Etyala Ramyasree

    2012-01-01

    Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the Worl...

  1. Monitoring genotoxic exposure in uranium mines.

    OpenAIRE

    Srám, R J; Dobiás, L; Rössner, P; Veselá, D; Veselý, D; Rakusová, R; V. Rericha

    1993-01-01

    Recent data from deep uranium mines in Czechoslovakia indicated that mines are exposed to other mutagenic factors in addition to radon daughter products. Mycotoxins were identified as a possible source of mutagens in these mines. Mycotoxins were examined in 38 samples from mines and in throat swabs taken from 116 miners and 78 controls. The following mycotoxins were identified from mines samples: aflatoxins B1 and G1, citrinin, citreoviridin, mycophenolic acid, and sterigmatocystin. Some mold...

  2. Evaluation of Security of Mine Ventilation Systems

    Institute of Scientific and Technical Information of China (English)

    何书建; 彭担任; 翟成

    2002-01-01

    A mine ventilation system has a deterministic function for the safety of coal production and for the control of mine accidents. So, it has an importa nt meaning to evaluate the security of a mine ventilation system. This paper studied the evaluation index system of the security of a mine ventilation system, and the security of a mine ventilation system was described quantitatively in the saf ety degree. Finally, an example of the security evaluation was given .

  3. Discussion research of digital construction of mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhuo; ZHANG Zi-bin

    2008-01-01

    Analyzed and compared with some digitizeed mine build state first. Secondly analyzed opportunity and challenge that the Chinese mine faces, and pointed out certainty and necessity of building digitization of mine, Summarized the present task that charac-teristic, DM, MGIS of the digital mine develop and construct and employ finally, and carry on the summary to structure and function of the component mine integrated information system.

  4. Discussion research of digital construction of mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhuo; ZHANG Zi-bin

    2008-01-01

    Analyzed and compared with some digitizeed mine build state first.Secondly analyzed opportunity and challenge that the Chinese mine faces,and pointed out certainty and necessity of building digitization of mine,Summarized the present task that characteristic,DM,MGIS of the digital mine develop and construct and employ finally,and carry on the summary to structure and function of the component mine integrated information system.

  5. ROLE OF DATA MINING IN RETAIL SECTOR

    OpenAIRE

    Bharati M. Ramageri; Dr. B.L. Desai

    2013-01-01

    Data mining is proved to be one of the important tools for identifying useful information from very large amount of data bases in almost all the industries. Industries are using data mining to increase revenues and reduce costs. This article begins the concept of data mining that has emerged as a technique of discovering patterns to make better strategies and decisions. It also discusses standard tasks involved in data mining, reviews various data mining applications in different sectors. Thi...

  6. Web Mining%Web 数学挖掘

    Institute of Scientific and Technical Information of China (English)

    王实; 高文; 李锦涛

    2000-01-01

    Web Mining is an important branch in Data Mining.It attracts more research interest for rapidly developing Internet. Web Mining includes:(1)Web Content Mining;(g)Web Usage Mining;(3) Web structure Mining.In this paper we define Web Mining and present an overview of the various research issues,techniques and development efforts.

  7. 30 CFR 49.20 - Requirements for all coal mines.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for all coal mines. 49.20 Section... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.20 Requirements for all coal mines. (a) The operator of each underground coal mine shall make available two certified mine...

  8. Nonferrous Metal Mines - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer includes nonferrous metal mines in the United States. The data represent commodities covered by the Minerals Information Team (MIT) of the U.S....

  9. Visual Data Mining Toolbox Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Visual Data Mining (VDM) is an Internet-based software that supports spatial and temporal analyses of multimodal NASA science data including satellite images and...

  10. Slope stability in surface mining

    Energy Technology Data Exchange (ETDEWEB)

    Hustrulid, W.A.; McCarter, M.K.; Van Zyl, D.J.A. (eds.)

    2000-07-01

    The volume contains a total of 49 invited papers in four sections entitled: rock slope design considerations; case studies in rock slope stability; stability of waste rock embankments; and tailings and heap leaching. Three papers are directly relevant to coal mining: coal mine highwall stability by Ben Seegmiller; construction and operation of a major mined-rock disposal facility at Elkview Coal Corporation, British Colombia by Brent Zeitz; and steepened spoil slopes at Bridger Coal Company, by William Gerhard. The papers were invited in the long time lapse between the 3rd and 4th international conference on stability in open pit mining to supplement earlier proceedings. Immediately following the publication of this volume, a symposium was held in conjunction with the 2001 SME annual meeting in Denver, Colorado, USA.

  11. Practical graph mining with R

    CERN Document Server

    Hendrix, William; Jenkins, John; Padmanabhan, Kanchana; Chakraborty, Arpan

    2014-01-01

    Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through applications using real data sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology, mining metabolic and protein-protein interaction networks, and community detection in social networks. De...

  12. Opinion mining in Dutch Hansards

    NARCIS (Netherlands)

    S. Grijzenhout; V. Jijkoun; M. Marx

    2010-01-01

    The question is addressed if opinion mining techniques can be successfully used to automatically retrieve political viewpoints in Dutch parliamentary publications. Two specific tasks are identified: automatically determining subjectivity in the publications and automatically determining the semantic

  13. Data preprocessing in data mining

    CERN Document Server

    García, Salvador; Herrera, Francisco

    2015-01-01

    Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data. This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying t...

  14. Privacy Preserving Distributed Data Mining

    Data.gov (United States)

    National Aeronautics and Space Administration — Distributed data mining from privacy-sensitive multi-party data is likely to play an important role in the next generation of integrated vehicle health monitoring...

  15. Ferrous Metal Mines - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer includes ferrous metal mines in the United States. The data represent commodities covered by the Minerals Information Team (MIT) of the U.S....

  16. Learning data mining with R

    CERN Document Server

    Makhabel, Bater

    2015-01-01

    This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.

  17. Water pollution from abandoned mines

    OpenAIRE

    Iversen, E.; Johannessen, M.

    1987-01-01

    The report provides a country-wide overview of abandoned pyrite mines where operations have been fairly extensive. The water pollution situation is assessed on the basis of reported investigations, inspections and chemical analyses from the individual areas. In cases where larger watercourses (Orkla, Gaula), and the upper stretch of the Glåma are affected the situation appears to be adequately described. However abandoned mine areas may also cause local pollution problems, and here documentat...

  18. Data Mining and Marketing Intelligence

    OpenAIRE

    Alberto Saccardi

    2003-01-01

    The technological advance has made possible to create data bases designed for the marketing intelligence, with the availability of large information. Data Mining is the process of selection, research and modeling of large amounts of data aimed to find out unknown business relationships in order to achieve a business edge. The Data Mining activity has a searching approach in the data analysis: discover unknown relationships, new relationships without an 'a priori' hypotheses on the subject.

  19. Mine Safety Detection System (MSDS)

    OpenAIRE

    Ballard, B.; Degnan, T.; Kipp, M.; Johnson, J; Miller, D.; Minto, M.

    2012-01-01

    Systems Engineering Project Report Approved for public release, distribution unlimited The search, detection, identification and assessment components of the U.S. Navys organic modular in-stride Mine Countermeasure (MCM) Concept of Operations (CONOPS) have been evaluated for their effectiveness as part of a hypothetical exercise in response to the existence of sea mines placed in the sea lanes of the Strait of Hormuz. The current MCM CONOPS has been shown to be capable of supporting the...

  20. Mining Heterogeneous Multidimensional Sequential Patterns

    OpenAIRE

    Egho, Elias; Raïssi, Chedy; Jay, Nicolas; Napoli, Amedeo

    2014-01-01

    All domains of science and technology produce large and heterogeneous data. Although much work has been done in this area, mining such data is still a challenge. No previous research targets the mining of heterogeneous multidimensional sequential data. In this work, we present a new approach to extract heterogeneous multidimensional sequential patterns with different levels of granularity by relying on external taxonomies. We show the efficiency and interest of our approach with the analysis ...

  1. System for Distributed Text Mining

    OpenAIRE

    Torgersen, Martin Nordseth

    2011-01-01

    Text mining presents us with new possibilities for the use of collections of documents.There exists a large amount of hidden implicit information inside these collection, which text mining techniques may help us to uncover. Unfortunately, these techniques generally requires large amounts of computational power. This is addressed by the introduction of distributed systems and methods for distributed processing, such as Hadoop and MapReduce.This thesis aims to describe, design, implement and ev...

  2. Typesafe Modeling in Text Mining

    OpenAIRE

    Steeg, Fabian

    2011-01-01

    Based on the concept of annotation-based agents, this report introduces tools and a formal notation for defining and running text mining experiments using a statically typed domain-specific language embedded in Scala. Using machine learning for classification as an example, the framework is used to develop and document text mining experiments, and to show how the concept of generic, typesafe annotation corresponds to a general information model that goes beyond text processing.

  3. Text mining: A Brief survey

    OpenAIRE

    Falguni N. Patel , Neha R. Soni

    2012-01-01

    The unstructured texts which contain massive amount of information cannot simply be used for further processing by computers. Therefore, specific processing methods and algorithms are required in order to extract useful patterns. The process of extracting interesting information and knowledge from unstructured text completed by using Text mining. In this paper, we have discussed text mining, as a recent and interesting field with the detail of steps involved in the overall process. We have...

  4. Excavation method in Goushfill mine

    OpenAIRE

    Masoud Cheraghi Seifabad; Saeed Beheshti

    2013-01-01

    This research tries to investigate the geomechanical parameters of rock mass in Goushfill mine. Using available cores, and studying existing methods, logs, and careful assessment of samples, four types of rock mass in Goushfill mine, shale, mineralized shale, dolomite and mineralized dolomite are classified, on the basis of GSI, RMR and Q-system. The physical parameters, friction angle and cohesion of rock mass are measured in the rock mechanics lab of Isfahan University of Technology. The ex...

  5. Expertised String Mining in Outsized Databases and Hefty Files

    OpenAIRE

    K. Geetha Rani; Shobhanjaly P. Nair; P. Visu; S. Koteeswaran

    2014-01-01

    In the last few decades data mining is one of the important research areas in data maintenance of computing. In computing world, plentiful algorithms are proposed for mining. The few applications of data mining are web mining, video mining, knowledge mining and string mining. In these applications, string mining is focused and concentrated to overcome the space allocation process. To overcome the drawback suffered by the space allocation process Efficient String Mining (ESM) algorithm is prop...

  6. Abandoned Uranium Mine (AUM) Priority-Tronox Mine Sites, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — There are 9 mines that are Tronox enforcement actions and are classified as priority mines. USEPA and NNEPA prioritized 46 mines based on gamma radiation levels,...

  7. Abandoned Uranium Mine (AUM) Trust Mine Points, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains point features that represent mines included in the Navajo Environmental Response Trust. This mine category also includes Priority mines....

  8. Abandoned Uranium Mine (AUM) Priority Mines with Enforcement Actions, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — There are 13 mines total that have enforcement actions and are classified as priority mines. USEPA and NNEPA prioritized 46 mines based on gamma radiation levels,...

  9. Development of mining at Jaduguda

    International Nuclear Information System (INIS)

    The paper deals with the development of mining and other infrastructural activities of the underground mine at Jaduguda. In the beginning open and shrinkage methods were used but gradually changed to Cut and Fill method, the fill being the deslimed mill tailings. This method gives much better recovery and provides adequate support to the worked out areas. The main entry to the mine is via a vertical shaft, 640 meters deep. The winders for ore hoisting and the services are installed on top of the concrete tower constructed above the shaft. As the winders are the life line of the mine, a high standard of maintenance is maintained. As the mine is located at the foot hill, there is a fair amount of seepage water. The seepage and the water from the fill is pumped to surface in stages. The sumps at various levels are designed to provide storage capacity. From time to time, the technological improvements in the various mining operations are brought about. The drilling of uppers by stope wagons, use of tyre mounted loaders in the stopes, use of ammonium nitrate for blasting purposes, the use of full column grout bolts are some examples. Studies are also conducted in the ground control in underground. Constant efforts are made to improve the support system. The training courses are regularly arranged for workers to update their skills. As the job in underground is hazardous, the workers are trained in the correct and safe methods of doing the various jobs. (author). 10 figs

  10. GENERAL WEB KNOWLEDGE MINING FRAMEWORK

    Directory of Open Access Journals (Sweden)

    B. Madasamy

    2012-10-01

    Full Text Available Mining the web is defined as discovering knowledge from hypertext and World Wide Web. The World Wide Web is one of the longest rising areas of intelligence gathering. Now a day there are billions of web pages, HTML archive accessible via the internet, and the number is still increasing. However, considering the inspiring diversity of the web, retrieving of interestingness web based content has become a very complex task. The large amount of data heterogeneity, complex format, high dimensional data and lack of structure of web, knowledge mining is a challenging task. In this paper, it is proposed to introduce a new framework generated to handle unstructured complex data. This web knowledge mining expertise brings forward a kind of XML-based distributed data mining architecture. Based on the research of web knowledge mining, XML is used to create well structured data. Web knowledge mining framework attempts to determine useful knowledge from derived data, complex format, and high dimensional data obtained from the interactions of the users through the Web.

  11. Mine waste disposal and managements

    Energy Technology Data Exchange (ETDEWEB)

    Cheong, Young Wook; Min, Jeong Sik; Kwon, Kwang Soo; Kim, Ok Hwan; Kim, In Kee; Song, Won Kyong; Lee, Hyun Joo [Korea Institute of Geology Mining and Materials, Taejon (Korea)

    1998-12-01

    Acid Rock Drainage (ARD) is the product formed by the atmospheric oxidation of the relatively common pyrite and pyrrhotite. Waste rock dumps and tailings containing sulfide mineral have been reported at toxic materials producing ARD. Mining in sulphide bearing rock is one of activity which may lead to generation and release of ARD. ARD has had some major detrimental affects on mining areas. The purpose of this study was carried out to develop disposal method for preventing contamination of water and soil environment by waste rocks dump and tailings, which could discharge the acid drainage with high level of metals. Scope of this study was as following: environmental impacts by mine wastes, geochemical characteristics such as metal speciation, acid potential and paste pH of mine wastes, interpretation of occurrence of ARD underneath tailings impoundment, analysis of slope stability of tailings dam etc. The following procedures were used as part of ARD evaluation and prediction to determine the nature and quantities of soluble constituents that may be washed from mine wastes under natural precipitation: analysis of water and mine wastes, Acid-Base accounting, sequential extraction technique and measurement of lime requirement etc. In addition, computer modelling was applied for interpretation of slope stability od tailings dam. (author). 44 refs., 33 tabs., 86 figs.

  12. Mining in Austria in 1992

    International Nuclear Information System (INIS)

    The mineral production of Austria, in 1992 - as far as under the supervision of the Austrian Mine Inspectorate, run up to about 50 million t of solid minerals, 1.2 million t of oil and 1.4 billion m3 of natural gas. 88% of the solid minerals comprised industrial minerals, 4% metals, 4% salt and 4% coal. The solid minerals were produced by 352 open pits and 15 underground mines. 3 of the operations worked both on surface and underground and one mine is a well field operation. In total around 8000 people were employed in the field of mining and mineral processing. The minerals produced represent a value of about 15 billion Austrian Schillings (about 1.25 billion US $), the major part being the industrial minerals sector with a share of 7 billion Austrian Schillings and oil and gas with around 4 billion Austrian Schillings. The industrial minerals sector does not play only in Austrian an important role, but contributes also remarkably to the world production. This comprises mainly magnesite, talc, kaolin and graphite where Austria produces more than 1% of the world production. Summarizing, it can be said that the future of the Austrian mining sector is quite prosperous, perhaps better than in some other traditional mining countries in Europe, where the change from the coal and base metals sector towards the industrial sector has not come so far. (orig.)

  13. Re-mining association mining results through visualization, data envelopment analysis, and decision trees

    OpenAIRE

    Ertek, Gürdal; Ertek, Gurdal; Tunç, Murat Mustafa; Tunc, Murat Mustafa

    2012-01-01

    Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology, and shows the applicability of the developed methodology through real world data. The methodology suggests re-mining using data visualization, data envelopment analysis, and decision trees. Six hypotheses, regarding ...

  14. Realizatinon of “zero emission” of mining water effluents from Sasa mine

    OpenAIRE

    Mirakovski, Dejan; Doneva, Nikolinka; Hadzi-Nikolova, Marija; Gocevski, Borce

    2015-01-01

    Sasa mine continuously takes actions to minimize the environmental impact of mining activities, in order to fulfill the national legislation in the field of environmental protection which comply with European legislation. This paper shows the drainage system of the horizon 830, which is performed in order to prevent free leakage of mining groundwater, as a part of these actions. This system provides a zero emission of mining water in the environment from Sasa mine. Key words: mining water...

  15. Metagenomic mining for microbiologists.

    Science.gov (United States)

    Delmont, Tom O; Malandain, Cedric; Prestat, Emmanuel; Larose, Catherine; Monier, Jean-Michel; Simonet, Pascal; Vogel, Timothy M

    2011-12-01

    Microbial ecologists can now start digging into the accumulating mountains of metagenomic data to uncover the occurrence of functional genes and their correlations to microbial community members. Limitations and biases in DNA extraction and sequencing technologies impact sequence distributions, and therefore, have to be considered. However, when comparing metagenomes from widely differing environments, these fluctuations have a relatively minor role in microbial community discrimination. As a consequence, any functional gene or species distribution pattern can be compared among metagenomes originating from various environments and projects. In particular, global comparisons would help to define ecosystem specificities, such as involvement and response to climate change (for example, carbon and nitrogen cycle), human health risks (eg, presence of pathogen species, toxin genes and viruses) and biodegradation capacities. Although not all scientists have easy access to high-throughput sequencing technologies, they do have access to the sequences that have been deposited in databases, and therefore, can begin to intensively mine these metagenomic data to generate hypotheses that can be validated experimentally. Information about metabolic functions and microbial species compositions can already be compared among metagenomes from different ecosystems. These comparisons add to our understanding about microbial adaptation and the role of specific microbes in different ecosystems. Concurrent with the rapid growth of sequencing technologies, we have entered a new age of microbial ecology, which will enable researchers to experimentally confirm putative relationships between microbial functions and community structures. PMID:21593798

  16. Lunar vertical-shaft mining system

    Science.gov (United States)

    Introne, Steven D. (Editor); Krause, Roy; Williams, Erik; Baskette, Keith; Martich, Frederick; Weaver, Brad; Meve, Jeff; Alexander, Kyle; Dailey, Ron; White, Matt

    1994-01-01

    This report proposes a method that will allow lunar vertical-shaft mining. Lunar mining allows the exploitation of mineral resources imbedded within the surface. The proposed lunar vertical-shaft mining system is comprised of five subsystems: structure, materials handling, drilling, mining, and planning. The structure provides support for the exploration and mining equipment in the lunar environment. The materials handling subsystem moves mined material outside the structure and mining and drilling equipment inside the structure. The drilling process bores into the surface for the purpose of collecting soil samples, inserting transducer probes, or locating ore deposits. Once the ore deposits are discovered and pinpointed, mining operations bring the ore to the surface. The final subsystem is planning, which involves the construction of the mining structure.

  17. Large mining blasts from the Kursk Mining Region, Russia

    Energy Technology Data Exchange (ETDEWEB)

    Leith, W. Adushkin, V.; Spivak, A.

    1997-01-01

    Monitoring the Comprehensive Nuclear Test Ban Treaty (CTBT) by seismic means will require identification of seismic sources at magnitude levels where industrial explosions (primarily, mining blasts) may comprise a significant fraction of the total number of events recorded, and may for some countries dominate the seismicity. Thus, data on blasting practice have both political significance for the negotiation of treaties involving seismic monitoring of nuclear tests, and operational applications in terms of establishing monitoring and inspection needs on a mine-by-mine basis. While it is generally accepted that mining explosions contribute to seismicity at lower seismic magnitudes (less than about magnitude 3.5), the rate of mining seismicity as a function of seismic magnitude is unknown for most countries outside the U.S. This results in a large uncertainty when estimating the task of discriminating nuclear explosions from chemical explosions and earthquakes, by seismic means, under a comprehensive nuclear test ban. This uncertainty directly affects estimates of seismic network enhancements required to achieve treaty verification requirements at magnitudes less than about 3.5. 24 refs., 64 figs., 11 tabs.

  18. Earth Science Mining Web Services

    Science.gov (United States)

    Pham, Long; Lynnes, Christopher; Hegde, Mahabaleshwa; Graves, Sara; Ramachandran, Rahul; Maskey, Manil; Keiser, Ken

    2008-01-01

    To allow scientists further capabilities in the area of data mining and web services, the Goddard Earth Sciences Data and Information Services Center (GES DISC) and researchers at the University of Alabama in Huntsville (UAH) have developed a system to mine data at the source without the need of network transfers. The system has been constructed by linking together several pre-existing technologies: the Simple Scalable Script-based Science Processor for Measurements (S4PM), a processing engine at he GES DISC; the Algorithm Development and Mining (ADaM) system, a data mining toolkit from UAH that can be configured in a variety of ways to create customized mining processes; ActiveBPEL, a workflow execution engine based on BPEL (Business Process Execution Language); XBaya, a graphical workflow composer; and the EOS Clearinghouse (ECHO). XBaya is used to construct an analysis workflow at UAH using ADam components, which are also installed remotely at the GES DISC, wrapped as Web Services. The S4PM processing engine searches ECHO for data using space-time criteria, staging them to cache, allowing the ActiveBPEL engine to remotely orchestras the processing workflow within S4PM. As mining is completed, the output is placed in an FTP holding area for the end user. The goals are to give users control over the data they want to process, while mining data at the data source using the server's resources rather than transferring the full volume over the internet. These diverse technologies have been infused into a functioning, distributed system with only minor changes to the underlying technologies. The key to the infusion is the loosely coupled, Web-Services based architecture: All of the participating components are accessible (one way or another) through (Simple Object Access Protocol) SOAP-based Web Services.

  19. Earth Science Mining Web Services

    Science.gov (United States)

    Pham, L. B.; Lynnes, C. S.; Hegde, M.; Graves, S.; Ramachandran, R.; Maskey, M.; Keiser, K.

    2008-12-01

    To allow scientists further capabilities in the area of data mining and web services, the Goddard Earth Sciences Data and Information Services Center (GES DISC) and researchers at the University of Alabama in Huntsville (UAH) have developed a system to mine data at the source without the need of network transfers. The system has been constructed by linking together several pre-existing technologies: the Simple Scalable Script-based Science Processor for Measurements (S4PM), a processing engine at the GES DISC; the Algorithm Development and Mining (ADaM) system, a data mining toolkit from UAH that can be configured in a variety of ways to create customized mining processes; ActiveBPEL, a workflow execution engine based on BPEL (Business Process Execution Language); XBaya, a graphical workflow composer; and the EOS Clearinghouse (ECHO). XBaya is used to construct an analysis workflow at UAH using ADaM components, which are also installed remotely at the GES DISC, wrapped as Web Services. The S4PM processing engine searches ECHO for data using space-time criteria, staging them to cache, allowing the ActiveBPEL engine to remotely orchestrates the processing workflow within S4PM. As mining is completed, the output is placed in an FTP holding area for the end user. The goals are to give users control over the data they want to process, while mining data at the data source using the server's resources rather than transferring the full volume over the internet. These diverse technologies have been infused into a functioning, distributed system with only minor changes to the underlying technologies. The key to this infusion is the loosely coupled, Web- Services based architecture: All of the participating components are accessible (one way or another) through (Simple Object Access Protocol) SOAP-based Web Services.

  20. Contrast data mining concepts, algorithms, and applications

    CERN Document Server

    Dong, Guozhu

    2012-01-01

    A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains. Learn from Real Case Studies

  1. Chaos dynamic characteristics during mine fires

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Mine fires break out and continue in confmed scopes, studying mine fire dynamics characteristics is very usefulto prevent and control fire. The judgement index of fire chaos characteristics was introduced, chaos analysis of mine Fireprocess was described, and the reconstruction of phase space was also presented. An example of mine fire was calculated.The computations show that it is feasible to analyze mine fire dynamic characteristics with chaos theory, and indicate thatfire preoeas is a catastrophe, that is to say, the fire system changes from one state to another during mine fire

  2. Mining software specifications methodologies and applications

    CERN Document Server

    Lo, David

    2011-01-01

    An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns. In the first set of chapters, the book introduces a number of studies on mining finite

  3. ROLE OF DATA MINING IN RETAIL SECTOR

    Directory of Open Access Journals (Sweden)

    Bharati M. Ramageri

    2013-01-01

    Full Text Available Data mining is proved to be one of the important tools for identifying useful information from very large amount of data bases in almost all the industries. Industries are using data mining to increase revenues and reduce costs. This article begins the concept of data mining that has emerged as a technique of discovering patterns to make better strategies and decisions. It also discusses standard tasks involved in data mining, reviews various data mining applications in different sectors. This paper attempts, how data mining can be applied in retail industry to improve market campaign.

  4. Survey of nine surface mines in North America. [Nine different mines in USA and Canada

    Energy Technology Data Exchange (ETDEWEB)

    Hayes, L.G.; Brackett, R.D.; Floyd, F.D.

    1981-01-01

    This report presents the information gathered by three mining engineers in a 1980 survey of nine surface mines in the United States and Canada. The mines visited included seven coal mines, one copper mine, and one tar sands mine selected as representative of present state of the art in open pit, strip, and terrace pit mining. The purpose of the survey was to investigate mining methods, equipment requirements, operating costs, reclamation procedures and costs, and other aspects of current surface mining practices in order to acquire basic data for a study comparing conventional and terrace pit mining methods, particularly in deeper overburdens. The survey was conducted as part of a project under DOE Contract No. DE-AC01-79ET10023 titled The Development of Optimal Terrace Pit Coal Mining Systems.

  5. Characteristics of rockburst and its mining technology in mines

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    In order to resolve how to mine under the condition of high stress with rockburst, this paper analyzes the law of rockburst, and considers that most of the rockbursts occur in the high stress area of stope. A method of rockburst forecast and its steps are given, and three different stages of rockburst are identified. Furthermore, this paper considers that blasting energy can effectively control rockburst by changing the characteristics of rock mass, which decreases the probability of rockburst happening. According to characteristics of rockburst, two feasible mining techniques under rockburst conditions are put forward, that is stoping-and-filling method, and sublevel caving method of mining without any sills in hanging wall.

  6. Proceedings of the 2010 International Mine Water Association symposium : mine water and innovative thinking

    Energy Technology Data Exchange (ETDEWEB)

    Wolkersdorfer, C. [Cape Breton Univ., Sydney, NS (Canada); Freund, A. [CBU Press, Sydney, NS (Canada)] (eds.)

    2010-07-01

    Acid mine drainage is causing pollution in many waterways and ground water tables throughout the world. Hosted by the International Mine Water Association, this symposium examined issues related to acid mine drainage and explored various water treatment and water removal technologies and mine water chemistry analysis methods. Issues concerning the remediation and monitoring of abandoned mines were explored and recent innovations in geochemistry and geological engineering were presented. Water management issues in various types of geologic formations were included. The conference themes were: mine water issues and innovative mining methods; mine water engineering; mine water treatment, active systems; mine water treatment, passive systems; mine water geothermal, geochemistry and biochemistry uses; analysis of mine water and its chemistry; underground and surface coal mining; mine closures; legal and social aspects of mine water; mine tailings; the Cape Breton Development Corporation legacy; and the concept of a zero waste mine. The symposium featured 155 presentations, of which 32 have been catalogued separately for inclusion in this database. tabs., figs.

  7. Emergency evacuation system for mines

    Institute of Scientific and Technical Information of China (English)

    QIAN Qing-yi; BUDIMAN Jeff; SHEN Jay

    2011-01-01

    There are many potential hazards in the underground mining these include fire,explosion,inundation,roof collapse,toxic gases,chemical pollution,etc.Over past centuries,in US alone,more than 100 000 miners lost their life in different accidents.The primary safety methods used in underground mines concentrate on the monitoring of the hazardous gases,fire detection and ventilation.Using advanced instruments and monitoring techniques have significantly reduced the accidents in the modem mines.However despite the advancement of these monitoring facilities,accidents still occur in underground mining annually in the world,and many miners were killed because they were trapped and unable to escape due to blocked of exit access.Described a new development for the emergency evacuation system in underground mines and analyzed the advantages and disadvantages of the system.It is expected that the new system will greatly improve the emergency exit methods and save more lives in the future.

  8. Forest ecosystem and mining activity

    International Nuclear Information System (INIS)

    The Indian sub-continent has a tremendous diversity of plant and animal species. About 80,000 species of animals and 15,000 species of flowering plants have so far been described from India. Profound changes have taken place in this era, the changes driven by an unprecedented level of human demands for the resources. One major crisis is the loss of biological diversity. Tropical moist forest tracts harbouring the bulk of this diversity is of main concern. Many countries largely from tropical belts have been identified as megadiversity countries, for biodiversity conservation. India is one of them. Conserving India's heritage of biodiversity is a great challenge, with large biomass needs of its huge rural population and exploding resource demands of its growing urban-industrial-intensive agricultural sector. One such major impact on the biological diversity is mining. Main environmental problems of mining are deforestation, land damage, visual intrusion, and disturbance of hydrological systems. Opencast mining, specially with multi-seam or steep deposits involves creation of external overburden dumps which destroys further lands and causes visual intrusion. The present paper highlights a few case studies carried out to understand the biological environmental impact assessment due to mining activity and also discusses the management plan for eco-restoration of the mined areas and degraded lands. 3 refs., 4 figs., 4 tabs

  9. Mining Opinion in Online Messages

    Directory of Open Access Journals (Sweden)

    Norlela Samsudin

    2013-09-01

    Full Text Available The number of messages that can be mined from online entries increases as the number of online application users increases. In Malaysia, online messages are written in mixed languages known as ‘Bahasa Rojak’. Therefore, mining opinion using natural language processing activities is difficult. This study introduces a Malay Mixed Text Normalization Approach (MyTNA and a feature selection technique based on Immune Network System (FS-INS in the opinion mining process using machine learning approach. The purpose of MyTNA is to normalize noisy texts in online messages. In addition, FS-INS will automatically select relevant features for the opinion mining process. Several experiments involving 1000 positive movies feedback and 1000 negative movies feedback have been conducted. The results show that accuracy values of opinion mining using Naïve Bayes (NB, k-Nearest Neighbor (kNN and Sequential Minimal Optimization (SMO increase after the introduction of MyTNA and FS-INS.

  10. Data mining with Oracle Data Mining (11g)

    OpenAIRE

    BOŠTJANČIČ, GREGA

    2010-01-01

    Data mining is becoming more and more important on number of fields in our lives. It is used by doctors defining medical conditions, bankers dealing with risk management and so on. It is a process of discovering information, patterns and correlation with searching through bigger or smaller quantity of data. Every data mining process, if one wants it to be successful, must be composed from exact steps or tasks. To reach our goal, we often have to take a step back to improve the former state. T...

  11. Longwall mining “cutting cantilever beam theory” and 110 mining method in China—The third mining science innovation

    OpenAIRE

    Manchao He; Guolong Zhu; Zhibiao Guo

    2015-01-01

    With the third innovation in science and technology worldwide, China has also experienced this marvelous progress. Concerning the longwall mining in China, the “masonry beam theory” (MBT) was first proposed in the 1960s, illustrating that the transmission and equilibrium method of overburden pressure using reserved coal pillar in mined-out areas can be realized. This forms the so-called “121 mining method”, which lays a solid foundation for development of mining science and technology in Chin...

  12. A SURVEY ON ITEMSET MINING FOR LARGE TRANSACTION DATABASE

    OpenAIRE

    Ancy Jose*, Dr. John T Abraham

    2016-01-01

    Mining itemsets from the databases is an important data mining task.Frequent itemset mining refers to the mining of set of items occur frequently in the database.Utility itemset mining refers to the discovery of items with high utilities.   Many algorithms have been proposed for mining frequent item sets as well as utility item set.This paper focus on different algorithms and techniques for high utility itemset mining and frequent itemset mining which can handle large transaction...

  13. Data Preparation for Web Mining – A survey

    OpenAIRE

    Amog Rajenderan

    2012-01-01

    An accepted trend is to categorize web mining intothree main areas: web content mining, webstructure mining and web usage mining. Webcontent mining involves extractingdetails/information from the contents of webpagesand performing things like knowledge synthesis.Web structure mining involves the usage of graphtheory to understand website structure/hierarchy.Web usage mining involves the mining of usefulinformation from things like server logs, tounderstand what the user does while on the inte...

  14. CONTRIBUTION FOR MINING ATMOSPHERE CALCULATION

    Directory of Open Access Journals (Sweden)

    Franica Trojanović

    1989-12-01

    Full Text Available Humid air is an unavoidable feature of mining atmosphere, which plays a significant role in defining the climate conditions as well as permitted circumstances for normal mining work. Saturated humid air prevents heat conduction from the human body by means of evaporation. Consequently, it is of primary interest in the mining practice to establish the relative air humidity either by means of direct or indirect methods. Percentage of water in the surrounding air may be determined in various procedures including tables, diagrams or particular calculations, where each technique has its specific advantages and disadvantages. Classical calculation is done according to Sprung's formula, in which case partial steam pressure should also be taken from the steam table. The new method without the use of diagram or tables, established on the functional relation of pressure and temperature on saturated line, is presented here for the first time (the paper is published in Croatian.

  15. Understanding Educational Data Mining (EDM

    Directory of Open Access Journals (Sweden)

    Mr.Suhas G. Kulkarni

    2013-03-01

    Full Text Available Recently Educational Data Mining (EDM is successful in attracting a great deal of attention of researchers. It is an emerging multidisciplinary research area. Educational Data Mining (EDM is the process of discovering useful information from raw data generated and collected from educational systems which can be used by the different stakeholders. In EDM different techniques and methods for exploring data originating from various educational information systems can be developed. It is rich application area for data mining as well as a learning science, also due to the growing availability of educational data. EDM contributes towards the study of how students can learn and the settings in which they learn. It enables data-driven decision making for improving the current educational practice and learning material. The objective of this paper is to present a brief overview of EDM and to observe the development in the field of EDM.

  16. Kensington Mine Area Baseline Contaminants Study, Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Hardrock mining for gold and other metals is proposed for the Kensington Mine, located on Lynn Canal in Southeast Alaska, approximately 45 miles north of Juneau....

  17. Data Mining: Going beyond Traditional Statistics

    Science.gov (United States)

    Zhao, Chun-Mei; Luan, Jing

    2006-01-01

    The authors provide an overview of data mining, giving special attention to the relationship between data mining and statistics to unravel some misunderstandings about the two techniques. (Contains 1 figure.)

  18. Mining information kit for Aboriginal communities

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-07-01

    The opportunities for building relationships between Aboriginal communities and the mining industry were discussed, along with opportunities for communities to build capacity and to participate in the mining cycle. With nearly 1200 Aboriginal communities located within 200 km of minerals and metals activities in Canada, there is potential for significant economic and business growth in the communities. This educational tool informs Aboriginal communities across Canada about all the stages of the mining cycle, from early exploration to mine closure. Its purpose is to help Aboriginal people to better understand mining activities and identify the many opportunities that mining can bring to their communities. The information kit contains 4 modules corresponding to the main stages of the mining cycle. It provides examples of community experiences, positive relationships, and partnerships with mining companies. It also outlines the regulatory process to ensure Aboriginal peoples are well informed of the economic, social and environmental effects, benefits and opportunities in making decisions. refs., tabs., figs.

  19. Mining technology, economics and policy 1990

    International Nuclear Information System (INIS)

    The American Mining Conference is an industry association that encompasses: producers of most of America's metals, coal, and industrial and agricultural minerals; manufacturers of mining and mineral processing machinery, equipment and supplies; and engineering and consulting firms and financial institutions that serve the mining industry. The 1990 conference was held in New Orleans, Louisiana, September 23-26, 1990. The conference covered a broad spectrum of issues relevant to the mining industry. Beginning with presentations on accounting and taxation, the conference was divided into sessions covering the following topics: coal and acid rain, communication with the environmental community, employee relations, the environment and environmental technology, mineral exploration, finance, management, mineral processing and new technologies, minerals availability, the mining company, manufacturer, engineer partnership, precious metals, public lands, safety and health, new initiatives for surface mining and reclamation, technical aspects of surface mining and reclamation, and technical aspects of underground mining

  20. Study on Assessment of Mine Environments

    Institute of Scientific and Technical Information of China (English)

    WU Qiang; LI Wei; LI Ruijun

    2008-01-01

    Mine environmental evaluation is the key to mine environmental study. On the basis of the characteristics of the mine environmental problems, they are classified into (1) three wastes problem, (2) ground distortion, (3) contradiction among mine drainage, water supply, ecological environment,(4) desertification, and (5) soil erosion. The evaluation is the basis of mine environmental problem classification and investigation, mine environmental rehabilitation, and the information system constructed can be used for subsequent research of evaluation techniques. A synthetic assessment of the 5 kinds of mine environmental problems can be divided into single-factor or multi-factor synthetic assessments; while by the viewpoint of time, the mine environmental assessment can be classified as the historical assessment, the current status assessment and the forecasting assessment.

  1. Environmental effects of uranium exploration and mining

    International Nuclear Information System (INIS)

    Uranium exploration and mining is increasing as the Nation's demand for energy grows. The environmental impacts associated with this exploration and mining are not severe and compare favorably with impacts from the production of other energy resources

  2. Environmental health consequences of land mines.

    Science.gov (United States)

    Newman, R D; Mercer, M A

    2000-01-01

    This article reviews the literature on the environmental effects of anti-personnel land mines globally. Land mines represent an immediate environmental health problem. Between 60 and 70 million land mines are currently in place in over 70 countries. Designed to kill or main humans, including civilians, they injure an estimated 1, 200 persons and kill another 800 every week. Land-mine injuries tend to be serious; an estimated 300,000 persons worldwide have been disabled by them. The problem, politically very controversial, can be resolved only by preventing the further placement of mines, by demining of areas already mined, and by coping with the personal and environmental devastation that they have already caused. Environmental health personnel should be involved in promoting awareness of the problem, in improving services for land-mine victims, and in promoting political efforts to ban further use of land mines. PMID:10926729

  3. Volume activity 226Ra mine waters of Ostrava-Karvina coal mines

    International Nuclear Information System (INIS)

    The State Office for Nuclear Safety, Regional Center Kamenna administers, within the framework of supervision, an inspection on workplaces of mines and discharge radionuclides into the environment from mines of Ostrava-Karvina coal mines. Join-stock company OKD exploit coal in next mines Paskov, Darkov, Lazy and CSA. Join -stock company CMD exploit coal in mine CSM. In 2002 DIAMO, state enterprise took over a part of Ostrava-Karvina coal mines and its division ODRA pump mine waters on Water-pumping shaft Jeremenko, Water- pumping shaft Zofie and close Mine Barbora. A water samples were take on main outflow mine water of mine. The presentation summarizes results from monitoring mine waters from 1999 to 2004 years. Volume activity 226Ra mine waters of Mine Lazy-locality Dukla and Water-pumping shaft Zofie are higher then clearance level from Regulation No.307/2002 Coll. On Radiation Protection. They are comparable with mine waters of uranium mines. Volume activity 226Ra surface waters under outflow perform, without stream Petrvaldska struzka under outflow Water-pumping shaft Zofie, guidance level for contamination surface waters from Government regulation No.61/2003 Coll. Volume activity 226Ra surface waters under outflow coal mines are higher then volume in surface waters under uranium mines, because mine waters from uranium mines are decontaminate on decontamination stations. Considering that volume activities 226Ra surface water of Orlovska struzka stream are under guidance level for contamination surface waters from Government regulation No.61/2003 Coll.. don't urgency arrangement to decontamination mine waters. Mass activity 226Ra in bed sediment under outflow Mine Lazy-locality Dukla are comparable with exemption level from Regulation No.307 /2002 Coll. On Radiation Protection. (authors)

  4. Biomarker Identification Using Text Mining

    Directory of Open Access Journals (Sweden)

    Hui Li

    2012-01-01

    Full Text Available Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

  5. Data mining methods and applications

    CERN Document Server

    Lawrence, Kenneth D; Klimberg, Ronald K

    2007-01-01

    With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management tools and methodology optimization Gain sophisticated breakdowns and complex analysis through multivariate, evolutionary, and neural net methodsLearn how to classify data and maintain qualityTransform Data into Business Acumen Data Mining Methods and

  6. Mining the bulk positron lifetime

    Energy Technology Data Exchange (ETDEWEB)

    Aourag, H.; Guittom, A. [Centre de Recherche Nucleaire d' Alger (CRNA), Alger Gare - Algiers (Algeria)

    2009-02-15

    We introduce a new approach to investigate the bulk positron lifetimes of new systems based on data-mining techniques. Through data mining of bulk positron lifetimes, we demonstrate the ability to predict the positron lifetimes of new semiconductors on the basis of available semiconductor data already studied. Informatics techniques have been applied to bulk positron lifetimes for different tetrahedrally bounded semiconductors in order to discover computational design rules. (copyright 2009 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

  7. Data Mining for Target Marketing

    Science.gov (United States)

    Levin, Nissan; Zahavi, Jacob

    Targeting is the core of marketing management. It is concerned with offering the right product/service to the customer at the right time and using the proper channel. In this chapter we discuss how Data Mining modeling and analysis can support targeting applications. We focus on three types of targeting models: continuous-choice models, discrete-choice models and in-market timing models, discussing alternative modeling for each application and decision making. We also discuss a range of pitfalls that one needs to be aware of in implementing a data mining solution for a targeting problem.

  8. FOUR CENTURIES OF BAUXITE MINING

    Directory of Open Access Journals (Sweden)

    Rikard Marušić

    1993-12-01

    Full Text Available In the paper the results of many years of archival and field investigations in the history of bauxite mining of the three authors are presented. It was established that in Istria in the valley of the river Mirna beneath the Castle of Sovinjak bauxite was exploited already 400 years ago, and that 1808 about this ore the first scientific account was published. Accordingly, the statements in the professional literature that the first bauxite mine opened 1873 in the French Provence and that the bauxite ore for the first time was scientifically described 1821 have to be revised. About this necessary revision here the essential proofs are produced.

  9. Mining the bulk positron lifetime

    International Nuclear Information System (INIS)

    We introduce a new approach to investigate the bulk positron lifetimes of new systems based on data-mining techniques. Through data mining of bulk positron lifetimes, we demonstrate the ability to predict the positron lifetimes of new semiconductors on the basis of available semiconductor data already studied. Informatics techniques have been applied to bulk positron lifetimes for different tetrahedrally bounded semiconductors in order to discover computational design rules. (copyright 2009 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

  10. Data mining in nuclear engineering

    International Nuclear Information System (INIS)

    Data mining (DM) is a process to find the useful and interesting information in huge data. Support Vector Machine (SVM) is a new technique in data mining, but Support Vector Regression (SVR) is the applying of SM in regression . Compared with the traditional regression methods, SVR has not been specified beforehand, and is fitted directly from the inner relationship of data, thus the simulation results are more accurate. This paper introduces the mathematical theory of SVR and uses SVR to process the data of the moving characteristics of molten metal droplets in serious nuclear engineering accidents. (authors)

  11. Cogema: a diversified mining portfolio

    International Nuclear Information System (INIS)

    With a total production of more than 6000 t of uranium in 1998, Cogema is one of the first mining uranium producer (20% of the worldwide production). This short paper summarizes Cogema's mining activities worldwide. Cogema's reserves are located in six different countries: France (Forez, Morvan, Limousin, Vendee, Herault), Niger (Air, Akouta), Gabon (Mounana, Oklo, Mikouloungou), Canada (Cluff Lake, McLean Lake, Midwest, Cigar Lake, Mc Arthur river), USA (Wyoming), Australia (Koongarra, Ranger, Jabiluka) and deposits are exploited by Cogema in five of these countries (not in Australia). Prospecting work is carried on in Canada (Kiggavik, Sissons), Australia (Arnhem Land) and central Asia (Kazakhstan, Mongolia, Uzbekistan). (J.S.)

  12. Reversal of underground mine ventilation

    Energy Technology Data Exchange (ETDEWEB)

    Ray, S.K.; Sahay, N.; Singh, R.P.; Singh, A.K.; Bhowmick, B.C. [Central Mining Research Institute, Dhanbad (India)

    2002-09-01

    Reversal of main ventilation is one of the important means to isolate a fire during emergency. In America, it has been reported that by fan reversal lives have been saved in underground coal mines. Indian coal mines have so far not come forward to adopt this method. Not much research work has so far been carried out in India. This paper deals with international review of the work carried out in other countries. Laws relating to the reversal of ventilation in different countries of the world is discussed. The effect of reversal on goaf gases and adjustment of ventilation flow is also outlined. 17 refs., 1 fig., 2 tabs.

  13. Proceedings of the fourth WVU conference on coal mine electrotechnology

    Energy Technology Data Exchange (ETDEWEB)

    Aldridge, M.D. (ed.)

    1978-10-01

    Thirty-nine papers from the Proceedings have been entered individually into EDB and ERA. Topics covered included mine power systems, mine instrumentation, mine illumination, mine communications, automatic control and monitoring, regulations, power distribution instrumentation, power distribution equipment, electrical systems for mine trolleys, on-line computer control of mines and monitoring using microprocessors. (LTN)

  14. 30 CFR 49.12 - Availability of mine rescue teams.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Availability of mine rescue teams. 49.12... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.12 Availability of mine rescue teams. (a) Except where alternative compliance is permitted for small and remote mines (§ 49.13),...

  15. 30 CFR 49.18 - Training for mine rescue teams.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Training for mine rescue teams. 49.18 Section... TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.18 Training for mine rescue teams. (a) Prior to serving on a mine rescue team each member shall complete, at a minimum, an...

  16. Strategic Management of Coal Mining Industry Efficiency

    OpenAIRE

    Olga Tkacheva; Anna Batashova; Irina Zhukova; Anna Smakhtina; Liudmila Topchienko

    2015-01-01

    The purpose of this study is to develop recommendations for the coal mining industry efficiency strategic management. The authors developed a mathematical economic models to maximize the net present value of the index of companies in the composition of the coal mining industry and calculated the efficiency of Russian enterprises in the composition of the coal mining industry in Russia in 2013 using MathCad. The authors identified the main problems of coal mines and in the quality of their sol...

  17. Fibre optic sensors for mine hazard detection

    International Nuclear Information System (INIS)

    We report the development of a comprehensive safety monitoring solution for coal mines. A number of fibre optic sensors have been developed and deployed for safety monitoring of mine roof integrity and hazardous gases. The FOS-based mine hazard detection system offers unique advantages of intrinsic safety, multi-location and multi-parameter monitoring. They can be potentially used to build expert systems for mine hazard early detection and prevention.

  18. Pattern discovery techniques in Web mining

    Directory of Open Access Journals (Sweden)

    Mirela Pater

    2008-05-01

    Full Text Available With the huge amount of information availableonline, the World Wide Web is a fertile area for datamining. Application of data mining techniques to theWorld Wide Web, referred to as Web mining, has beenthe focus of several recent research projects and papers.In this paper we define Web mining and present anoverview of the various research issues, techniques anddevelopment efforts. We briefly describe the strategies forpattern discovery techniques in Web mining.

  19. PMLAB: An scripting environment for process mining

    OpenAIRE

    Carmona Vargas, Josep; Solé, Marc

    2014-01-01

    In a decade of process mining research, several algorithms have been proposed to solve particular process mining tasks. At the same pace, tools have appeared both in the academic and the commercial domains. These tools have enabled the use of process mining practices to a rather limited extent. In this paper we advocate for a change in the mentality: process mining may be an exploratory discipline, and PMLAB - a Python-based scripting environment supporting this - is proposed. This demo prese...

  20. Scalable Text Mining with Sparse Generative Models

    OpenAIRE

    Puurula, Antti

    2016-01-01

    The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks to utilize the information contained in vast document collections. General data mining methods based on machine learning face challenges with the scale of text data, posing a need for scalable text mining methods. This thesis proposes a solution to scalable text mining: gener...

  1. Pbm: A new dataset for blog mining

    OpenAIRE

    Aziz, Mehwish; Rafi, Muhammad

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpret...

  2. Evaluating Water Management Practice for Sustainable Mining

    OpenAIRE

    Xiangfeng Zhang; Lei Gao; Damian Barrett; Yun Chen

    2014-01-01

    To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has pr...

  3. Coalbed methane resource of Jingcheng mining area

    Energy Technology Data Exchange (ETDEWEB)

    Shen, Y.; Zhang, Z.; Wang, H. [Shanxi Coal Field Research Institute, Taiyuan (China)

    2001-06-01

    Through researching a large quantity of data on the coalbed methane (CBM) resource in Jingcheng mining area, a scheme of CBM resource statistical division is put forward, which comprises 4 sections and 3 grades. According to this division scheme, the CBM resources in Daning district No.2 mine, Panzhuang district No.1 mine, and Panzhung district No.2 mine are calculated in detail. 4 tabs.

  4. Numerical Study on 4-1 Coal Seam of Xiaoming Mine in Ascending Mining

    Directory of Open Access Journals (Sweden)

    Lan Tianwei

    2015-01-01

    Full Text Available Coal seams ascending mining technology is very significant, since it influences the safety production and the liberation of dull coal, speeds up the construction of energy, improves the stability of stope, and reduces or avoids deep hard rock mining induced mine disaster. Combined with the Xiaoming ascending mining mine 4-1, by numerical calculation, the paper analyses ascending mining 4-1 factors, determines the feasibility of ascending mining 4-1 coalbed, and proposes roadway layout program about working face, which has broad economic and social benefits.

  5. Impact of Mining on Livelihoods of Rural Households. A Case Study of Farmers in the Wassa Mining Region, Ghana

    OpenAIRE

    Adjei, Emmanuel

    2007-01-01

    Radical reforms and liberalization in the mining sector of the Ghanaian economy stimulated increase in mining sector investment with new multinational mining companies coming on board as well as the rehabilitation of old mines. The cumulative effect was the intensification of mining and the expansion in the operation of mines across the mining zones in the country. Livelihoods of households in the rural communities in the catchments of the mines got threatened by the expansion of concessions ...

  6. GIS-based environmental database for assessing the mine pollution : a case study of an abandoned mine site in Morocco

    OpenAIRE

    Khalil, A.; Hanich, L.; Hakkou, R.; Lepage, Michel

    2014-01-01

    Morocco with important mining activities is increasingly concerned about impacts of mining on the environment. In Morocco, there are approximately 200 abandoned mine sites which vary from small scale underground mines to large scale open-pit mines. Some of these mines, with reactive tailings and waste rocks, are problematic. Indeed, Acid Mine Drainage (AMD) pollution from abandoned mines is responsible for soil and water contamination, land resources degradation, changes in landscapes, habita...

  7. Evolution of Acid Mine Drainage Formation in Sulphidic Mine Tailings

    Directory of Open Access Journals (Sweden)

    Bernhard Dold

    2014-07-01

    Full Text Available Sulphidic mine tailings are among the largest mining wastes on Earth and are prone to produce acid mine drainage (AMD. The formation of AMD is a sequence of complex biogeochemical and mineral dissolution processes. It can be classified in three main steps occurring from the operational phase of a tailings impoundment until the final appearance of AMD after operations ceased: (1 During the operational phase of a tailings impoundment the pH-Eh regime is normally alkaline to neutral and reducing (water-saturated. Associated environmental problems include the presence of high sulphate concentrations due to dissolution of gypsum-anhydrite, and/or effluents enriched in elements such as Mo and As, which desorbed from primary ferric hydroxides during the alkaline flotation process. (2 Once mining-related operations of the tailings impoundment has ceased, sulphide oxidation starts, resulting in the formation of an acidic oxidation zone and a ferrous iron-rich plume below the oxidation front, that re-oxidises once it surfaces, producing the first visible sign of AMD, i.e., the precipitation of ferrihydrite and concomitant acidification. (3 Consumption of the (reactive neutralization potential of the gangue minerals and subsequent outflow of acidic, heavy metal-rich leachates from the tailings is the final step in the evolution of an AMD system. The formation of multi-colour efflorescent salts can be a visible sign of this stage.

  8. URL Mining Using Agglomerative Clustering Algorithm

    Directory of Open Access Journals (Sweden)

    Chinmay R. Deshmukh

    2015-02-01

    Full Text Available Abstract The tremendous growth of the web world incorporates application of data mining techniques to the web logs. Data Mining and World Wide Web encompasses an important and active area of research. Web log mining is analysis of web log files with web pages sequences. Web mining is broadly classified as web content mining web usage mining and web structure mining. Web usage mining is a technique to discover usage patterns from Web data in order to understand and better serve the needs of Web-based applications. URL mining refers to a subclass of Web mining that helps us to investigate the details of a Uniform Resource Locator. URL mining can be advantageous in the fields of security and protection. The paper introduces a technique for mining a collection of user transactions with an Internet search engine to discover clusters of similar queries and similar URLs. The information we exploit is a clickthrough data each record consist of a users query to a search engine along with the URL which the user selected from among the candidates offered by search engine. By viewing this dataset as a bipartite graph with the vertices on one side corresponding to queries and on the other side to URLs one can apply an agglomerative clustering algorithm to the graphs vertices to identify related queries and URLs.

  9. The Lure of Statistics in Data Mining

    Science.gov (United States)

    Grover, Lovleen Kumar; Mehra, Rajni

    2008-01-01

    The field of Data Mining like Statistics concerns itself with "learning from data" or "turning data into information". For statisticians the term "Data mining" has a pejorative meaning. Instead of finding useful patterns in large volumes of data as in the case of Statistics, data mining has the connotation of searching for data to fit preconceived…

  10. Computer graphics for the mining industry

    Energy Technology Data Exchange (ETDEWEB)

    1984-01-01

    The following papers were presented: information graphics in the mining industry; role of the personal computer in graphics; the rastergraphics approach; trends in graphics software; raster technology in graphics; computer graphics in mine planning; application of computer graphics in mine fire detection. 3 papers have been abstracted separately.

  11. Using Data Mining Techniques in Customer Segmentation

    Directory of Open Access Journals (Sweden)

    Hasan Ziafat

    2014-09-01

    Full Text Available Data mining plays important role in marketing and is quite new. Although this field expands rapidly, data mining is still foreign issue for many marketers who trust only their experiences. Data mining techniques cannot substitute the significant role of domain experts and their business knowledge. In the other words, data mining algorithms are powerful but cannot effectively work without the active support of business experts. We can gain useful results by combining these techniques and business expertise. For instance ability of a data mining technique can be substantially increased by combining person experience in the field or information of business can be integrated into a data mining model to build a more successful result. Moreover, these results should always be evaluated by business experts. Thus, business knowledge can help and enrich the data mining results. On the other hand, data mining techniques can extract patterns that even the most experienced business people may have missed. In conclusion, the combination of business domain expertise with the power of data mining techniques can help organizations gain a competitive advantage in their efforts to optimize customer management. Clustering algorithms, a group of data mining technique, is one of most common used way to segment data set according to their similarities. This paper focuses on the topic of customer segmentation using data mining techniques. In the other words, we theoretically discuss about customer relationship management and then utilize couple of data mining algorithm specially clustering techniques for customer segmentation. We concentrated on behavioral segmentation.

  12. 78 FR 39531 - Mine Rescue Teams

    Science.gov (United States)

    2013-07-01

    ... Rescue Teams; CFR Correction #0;#0;Federal Register / Vol. 78 , No. 126 / Monday, July 1, 2013 / Rules... Rescue Teams CFR Correction In Title 30 of the Code of Federal Regulations, Parts 1 to 199, revised as of... Miner Act Requirements for Underground Coal Mine Operators and Mine Rescue Teams Type of mine...

  13. Knowledge discovery data and text mining

    CERN Document Server

    Olmer, Petr

    2008-01-01

    Data mining and text mining refer to techniques, models, algorithms, and processes for knowledge discovery and extraction. Basic de nitions are given together with the description of a standard data mining process. Common models and algorithms are presented. Attention is given to text clustering, how to convert unstructured text to structured data (vectors), and how to compute their importance and position within clusters.

  14. Application Of Data Mining In Bioinformatics

    OpenAIRE

    KHALID RAZA

    2012-01-01

    This article highlights some of the basic concepts of bioinformatics and data mining. The major research areas of bioinformatics are highlighted. The application of data mining in the domain of bioinformatics is explained. It also highlights some of the current challenges and opportunities of data mining in bioinformatics.

  15. Association Rule Mining from an Intelligent Tutor

    Science.gov (United States)

    Dogan, Buket; Camurcu, A. Yilmaz

    2008-01-01

    Educational data mining is a very novel research area, offering fertile ground for many interesting data mining applications. Educational data mining can extract useful information from educational activities for better understanding and assessment of the student learning process. In this way, it is possible to explore how students learn topics in…

  16. Zambia Mining Investment and Governance Review

    OpenAIRE

    World Bank

    2016-01-01

    The Zambia Mining Investment and Governance Review (MInGov) collects and shares information on mining sector governance, its attractiveness to investors and how its activities affect national development. It reviews sector performance from the perspective of three main stakeholder groups– government, investors in the mining value chain and civil society – and identifies gaps between declar...

  17. Mining Foundations, Trust and Funds : A Sourcebook

    OpenAIRE

    World Bank, (WB)

    2010-01-01

    Mining operations increasingly exist in remote parts of developing countries, and with the combined challenges in public services delivery and development assistance, this is drawing the mining sector further into catalyzing development at local, regional and national levels. Responding to this multifaceted trend, the mining sector has increasingly turned to foundations, trusts and funds a...

  18. Social Housing for Mine Workers

    DEFF Research Database (Denmark)

    Allen, Nacho Ruiz; Ruiz Esquiroz, Jose Antonio

    2015-01-01

    The purpose of the project was to design and build state subsidized housing in Cerredo (Asturias), a mining town located in the very heart of the Cantabrian Mountains, where no residential construction had been made for over 25 years. The volumetric we propose has an angular shape. It is a geomet...

  19. Data mining in cancer research

    OpenAIRE

    Paulo J G Lisboa; Vellido Alcacena, Alfredo; Tagliaferri, Roberto; Napolitano, Francesco; Ceccarelli, Michelle; Martín Guerrero, José D.; Biganzoli, Elia

    2010-01-01

    This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on a guided tour of computational intelligence applications in cancer medicine, structured in increasing order of the physical scales of biological processes.

  20. Data Mining in Astronomical Databases

    OpenAIRE

    Borne, Kirk D

    2000-01-01

    Comment: 3 pages. Uses eso.sty style file. Paper to appear in the proceedings of the August 2000 "Mining the Sky" conference at MPA/ESO/MPE, Garching, Germany. (For figures and demos related to sample user scenarios, see http://adc.gsfc.nasa.gov/adc/adc_science/adc-science-scenario-papers.html .) (Revised version v2 only corrected these comments.)

  1. Informatics & Data-Mining Group

    Science.gov (United States)

    Aims to create software tools to support the RAS Initiative; to mine existing large datasets, such as TCGA, for RAS-centric data; and to help integrate internal and external data in ways that elucidate the biology of RAS-driven cancers.

  2. Mining in the European Arctic

    NARCIS (Netherlands)

    van Dam, Karin; Scheepstra, Adriana; Gille, Johan; Stepien, Adam; Koivurova, Timo; Stepien, Adam; Koivurova, Timo; Kankaanpää, Paula

    2016-01-01

    The European Arctic has been recently experiencing an upsurge in mining activities. This is reflected in an on-going interest from the industry, regulators and the public. However, current and future prospects are highly sensitive to mineral price fluctuations. The EU is a major consumer and importe

  3. Mining in the European Arctic

    NARCIS (Netherlands)

    van Dam, Kim; Scheepstra, Annette; Gille, Johan; Stępień, Adam; Koivurova, Timo

    2014-01-01

    The European Arctic is currently experiencing an upsurge in mining activities, but future developments will be highly sensitive to mineral price fluctuations. The EU is a major consumer and importer of Arctic raw materials. As the EU is concerned about the security of supply, it encourages domestic

  4. Mining and Indexing Graph Databases

    Science.gov (United States)

    Yuan, Dayu

    2013-01-01

    Graphs are widely used to model structures and relationships of objects in various scientific and commercial fields. Chemical molecules, proteins, malware system-call dependencies and three-dimensional mechanical parts are all modeled as graphs. In this dissertation, we propose to mine and index those graph data to enable fast and scalable search.…

  5. Semi autonomous mine detection system

    Energy Technology Data Exchange (ETDEWEB)

    Douglas Few; Roelof Versteeg; Herman Herman

    2010-04-01

    CMMAD is a risk reduction effort for the AMDS program. As part of CMMAD, multiple instances of semi autonomous robotic mine detection systems were created. Each instance consists of a robotic vehicle equipped with sensors required for navigation and marking, a countermine sensors and a number of integrated software packages which provide for real time processing of the countermine sensor data as well as integrated control of the robotic vehicle, the sensor actuator and the sensor. These systems were used to investigate critical interest functions (CIF) related to countermine robotic systems. To address the autonomy CIF, the INL developed RIK was extended to allow for interaction with a mine sensor processing code (MSPC). In limited field testing this system performed well in detecting, marking and avoiding both AT and AP mines. Based on the results of the CMMAD investigation we conclude that autonomous robotic mine detection is feasible. In addition, CMMAD contributed critical technical advances with regard to sensing, data processing and sensor manipulation, which will advance the performance of future fieldable systems. As a result, no substantial technical barriers exist which preclude – from an autonomous robotic perspective – the rapid development and deployment of fieldable systems.

  6. Investigating MOOCs through Blog Mining

    Science.gov (United States)

    Chen, Yong

    2014-01-01

    MOOCs (massive open online course) is a disruptive innovation and a current buzzword in higher education. However, the discussion of MOOCs is disparate, fragmented, and distributed among different outlets. Systematic, extensively published research on MOOCs is unavailable. This paper adopts a novel method called blog mining to analyze MOOCs. The…

  7. Water in mining 2009. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2009-07-01

    Subjects covered include treatment technologies and treatment practices, water efficiency and quality, water accounting and auditing, as well AS probabilistic forecasting and systems modelling, and a number of papers from operating mines. Management of ground water was an important theme at the conference. The proceedings are also available on CD-ROM (ISBN 978-1-921522-05-5).

  8. In situ solution mining technique

    International Nuclear Information System (INIS)

    A method of in situ solution mining is disclosed in which a primary leaching process employing an array of 5-spot leaching patterns of production and injection wells is converted to a different pattern by converting to injection wells all the production wells in alternate rows

  9. Business rule mining from spreadsheets

    NARCIS (Netherlands)

    Roy, S.

    2015-01-01

    Business rules represent the knowledge that guides the operations of a business organization. They are implemented in software applications used by organizations, and the activity of extracting them from software is known as business rule mining. It has various purposes amongst which migration and g

  10. Mine waste management legislation. Gold mining areas in Romania

    Science.gov (United States)

    Maftei, Raluca-Mihaela; Filipciuc, Constantina; Tudor, Elena

    2014-05-01

    Problems in the post-mining regions of Eastern Europe range from degraded land and landscapes, huge insecure dumps, surface cracks, soil pollution, lowering groundwater table, deforestation, and damaged cultural potentials to socio economic problems like unemployment or population decline. There is no common prescription for tackling the development of post-mining regions after mine closure nor is there a common definition of good practices or policy in this field. Key words : waste management, legislation, EU Directive, post mining Rosia Montana is a common oh 16 villages; one of them is also called Rosia Montana, a traditional mining Community, located in the Apuseni Mountains in the North-Western Romania. Beneath part of the village area lays one of the largest gold and silver deposits in Europe. In the Rosia Montana area mining had begun ever since the height of the Roman Empire. While the modern approach to mining demands careful remediation of environmental impacts, historically disused mines in this region have been abandoned, leaving widespread environmental damage. General legislative framework Strict regulations and procedures govern modern mining activity, including mitigation of all environmental impacts. Precious metals exploitation is put under GO no. 190/2000 re-published in 2004. The institutional framework was established and organized based on specific regulations, being represented by the following bodies: • The Ministry of Economy and Commerce (MEC), a public institution which develops the Government policy in the mining area, also provides the management of the public property in the mineral resources area; • The National Agency for the development and implementation of the mining Regions Reconstruction Programs (NAD), responsible with promotion of social mitigation measures and actions; • The Office for Industry Privatization, within the Education Ministry, responsible with privatization of companies under the CEM; • The National

  11. Association Rule Mining and Its Application

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Several algorithms in data mining technique have been studied recently, among which association is one of the most important techniques. In this paper, we introduce theory of association rule in data mining, and analyze the characteristics of postal EMS service. We create a data warehouse model for EMS services and give the procedure of applying association rule mining based on it. In the end, we give an example of the whole mining procedure. This EMS-Data warehouse model and association rule mining technique have been applied in a practical Postal CRM System.

  12. Mining Recurrent Pattern Identification on Large Database

    Directory of Open Access Journals (Sweden)

    Shivangi Srivastava

    2014-04-01

    Full Text Available Recurrent pattern mining is an important problem in the context of data mining. In this paper data mining algorithms have been discussed and compared. Recurrent pattern mining has been an important area in data mining research and it is the first step in the analysis of data rising in a broad range of applications. The algorithms are compared with respect to the items like methodology and its basic principles in terms of the elements user like support, and scan of the database (full or partial.

  13. Acid mine drainage research in Canada

    International Nuclear Information System (INIS)

    Acidic drainage resulting from base metal, precious metal, and uranium mining is the largest single environmental problems facing the Canadian mining industry today. Technologies to prevent acidic drainage from occurring in waste rock piles and tailings sites, and on the walls of open pits and underground mines, need to be developed and demonstrated. There are two grounds in Canada which have accepted this challenge: the national Mine Environment Neutral Drainage (MEND) program and the British Columbia Acid Mine Drainage (BC AMD) Task Force. This paper summarizes the activities of these two organizations

  14. Impact of Coal Mining on Environment

    OpenAIRE

    Sribas Goswami

    2015-01-01

    Coal mining adversely affects the eco-system as a whole. On the unstable earth, the unresting mankind constantly uses a variety of resources for daily lives. Coal is recognized to have been the main source of energy in India for many decades and contributes to nearly 27 % of the world’s commercial energy requirement. Coal is mainly mined using two methods- surface or ‘opencast’ and underground mining. The geological condition determines the method of mining. Coal mining is usually associated ...

  15. Chopper: Efficient Algorithm for Tree Mining

    Institute of Scientific and Technical Information of China (English)

    ChenWang; Ming-ShengHong; WeiWang; Bai-LeShi

    2004-01-01

    With the development of Internet, frequent pattern mining has been extended to more complex patterns like tree mining and graph mining. Such applications arise in complex domains like bioinformatics, web mining, etc. In this paper, we present a novel algorithm, named Chopper, to discover frequent subtrees from ordered labeled trees. An extensive performance study shows that the newly developed algorithm outperforms TreeMinerV, one of the fastest methods proposed previously, in mining large databases. At the end of this paper, the potential improvement of Chopper is mentioned.

  16. Chopper:Efficient Algorithm for Tree Mining

    Institute of Scientific and Technical Information of China (English)

    Chen Wang; Ming-Sheng Hong; Wei Wang; Bai-Le Shi

    2004-01-01

    With the development of Internet, frequent pattern mining has been extended to more complex patterns like tree mining and graph mining. Such applications arise in complex domains like bioinformatics, web mining, etc. In this paper, we present a novel algorithm, named Chopper, to discover frequent subtrees from ordered labeled trees. An extensive performance study shows that the newly developed algorithm outperforms TreeMinerV, one of the fastest methods proposed previously, in mining large databases. At the end of this paper,the potential improvement of Chopper is mentioned.

  17. Overview of Anti-tank Mines

    Institute of Scientific and Technical Information of China (English)

    Manfred Held

    2006-01-01

    First the different anti-tank mines laying possibilities are shortly summarized: hand emplaced, with mine layers, ground or helicopter relatively topographical well defined, and with cluster systems of projectiles, rockets and aircraft dispensers. Then examples of the three generations of anti-tank mines are presented:Ⅰ generation: detonating only beneath the track; Ⅱ generation: detonating beneath the track and belly;Ⅲ generation: mines with off-route actions. Weight and cost comparisons are strongly favoring the off-route Ⅲ-generation mines.

  18. Introduction to Agent Mining Interaction and Integration

    Science.gov (United States)

    Cao, Longbing

    In recent years, more and more researchers have been involved in research on both agent technology and data mining. A clear disciplinary effort has been activated toward removing the boundary between them, that is the interaction and integration between agent technology and data mining. We refer this to agent mining as a new area. The marriage of agents and data mining is driven by challenges faced by both communities, and the need of developing more advanced intelligence, information processing and systems. This chapter presents an overall picture of agent mining from the perspective of positioning it as an emerging area. We summarize the main driving forces, complementary essence, disciplinary framework, applications, case studies, and trends and directions, as well as brief observation on agent-driven data mining, data mining-driven agents, and mutual issues in agent mining. Arguably, we draw the following conclusions: (1) agent mining emerges as a new area in the scientific family, (2) both agent technology and data mining can greatly benefit from agent mining, (3) it is very promising to result in additional advancement in intelligent information processing and systems. However, as a new open area, there are many issues waiting for research and development from theoretical, technological and practical perspectives.

  19. Coal mining needs a differentiating approach

    Energy Technology Data Exchange (ETDEWEB)

    Stoyanov, S.

    1988-03-01

    Describes state of Bulgarian coal mines in 1988 after the introduction of self-management in place of a strictly centralized economic control system in the mining and power generating industries, which are interdependent as thermal power plants consume 90% of Bulgarian coal. It is said that fulfillment of general branch plans, prepared in consultation with state financial experts, should be the first priority of all coal mines and power plants. The second priority is to improve profitability, despite low coal prices and low coal quality. It is suggested that the operating costs of a mine operating in average conditions, plus a few percent for self-financing and development, should determine the price of coal, and that prices should remain fixed for several years. Future investment in mining should come from state-owned industrial enterprises and from the state. Future investment approach should concentrate on constructing modern, highly mechanized coal mines with good mining conditions.

  20. Mining activities of the Cogema group

    International Nuclear Information System (INIS)

    This brochure is a general presentation of the mining activities of the COGEMA group. COGEMA is specialized in the whole operations of the nuclear fuel cycle and is responsible for about 20% of the worldwide uranium production with the exploitation of French mines and its participation in the exploitation of mines abroad, mainly in Canada, USA, Niger and Gabon. This document is divided in seven chapters: the search for uranium ores and the mining prospecting, the uranium deposits and the worldwide market, the exploitation of uranium ores (techniques and mines exploited by the COGEMA group), the processing of ores, the radioactivity and the mining installations, the environmental protection and the rehabilitation of sites (environmental survey and management of mining sites), application of COGEMA's know-how to other domains such as: gold ore processing, research and development studies, instrumentation and radioprotection, soils cleansing and sites rehabilitation. This brochure is illustrated with several photos and pictures. (J.S.)

  1. Pbm: A new dataset for blog mining

    CERN Document Server

    Aziz, Mehwish

    2012-01-01

    Text mining is becoming vital as Web 2.0 offers collaborative content creation and sharing. Now Researchers have growing interest in text mining methods for discovering knowledge. Text mining researchers come from variety of areas like: Natural Language Processing, Computational Linguistic, Machine Learning, and Statistics. A typical text mining application involves preprocessing of text, stemming and lemmatization, tagging and annotation, deriving knowledge patterns, evaluating and interpreting the results. There are numerous approaches for performing text mining tasks, like: clustering, categorization, sentimental analysis, and summarization. There is a growing need to standardize the evaluation of these tasks. One major component of establishing standardization is to provide standard datasets for these tasks. Although there are various standard datasets available for traditional text mining tasks, but there are very few and expensive datasets for blog-mining task. Blogs, a new genre in web 2.0 is a digital...

  2. Applied data mining for business and industry

    CERN Document Server

    Giudici, Paolo

    2009-01-01

    The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications.Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.Features detailed case studies based on applied projects within industry.Incorporates discussion of data mining software, with case studies a...

  3. Stability and reliability of pit slopes in surface mining combined with underground mining in Tonglushan mine

    Institute of Scientific and Technical Information of China (English)

    罗一忠; 吴爱祥; 刘湘平; 王洪江

    2004-01-01

    Slope stability is of critical importance in the process of surface-underground mining combination. The influence of underground mining on pit slope stability was mainly discussed, and the self-stabilization of underground stopes was also studied. The random finite element method was used to analyze the probability of the rock mass stability degree of both pit slopes and underground stopes. Meanwhile, 3D elasto-plastic finite element method was used to research into the stress, strain and rock mass failure resulting from mining. The results of numerical simulation indicate that the mining of the underground test stope has certain influence on the stability of the pit slope, but the influence is not great. The safety factor of pit slope is decreased by 0.06, and the failure probability of the pit slope is increased by 1.84%. In addition, the strata yielding zone exists around the underground test stope. The results basically conform to the information coming from the field monitoring.

  4. Post-mining safety implementations and environmental aspects of abandoned mine sites in Limousin. 2006 status (and perspectives 2007)

    International Nuclear Information System (INIS)

    This document summarizes the actions carried out in 2006 at some French abandoned mine sites: 1 - safety implementations and risks abatement in the framework of post-mining actions: coal mines of Ahun (23) and Argentat (19), antimony mines of Biard (87); 2 - remedial actions at the tin/tungsten mine of Puy-les-Vignes (87) and at the gold mine of Chatelet (23); 3 - 2007 post-mining perspectives; 4 - environmental aspects of abandoned mine sites: gold mines of Chatelet (23), Cheni and Bourneix (87), uranium mines of Haute-Vienne (expertise, control of effluents, financial warranties about tailings storage sites maintenance). (J.S.)

  5. Study on Critical, Modern Technology for Mining in Gassy Deep Mines

    Institute of Scientific and Technical Information of China (English)

    YUAN Liang

    2007-01-01

    To achieve safe and highly efficient mining in the gassy, deep mines of the Huainan collieries simultaneous coal and gas extraction, and the corresponding ventilation methods were developed. This includes a set of mining procedures and principles which help insure safe and efficient production. Furthermore, green mining, meaning the comprehensive use of emitted gas, proper treatment of the environment and appropriate mine temperature control, is now standard. The concepts of modern mining and the principles of pressure relief are described. Coal-gas simultaneous extraction and multi-pressure relief techniques were developed which require a combination of surface and underground gas extraction. The application of Y-ventilation systems, of roadways retained along goafs, of stress control techniques for highly fragile mine roofs and of powerful, automatic and reliable mining equipment contributes to safe operation of modern deep mines. Operating parameters for these techniques are described and the results of their use discussed.

  6. The assessment of mine rebound and decanting in deeper coal mines

    Energy Technology Data Exchange (ETDEWEB)

    Vermeulen, P.D.; Dennis, I. [Inst. for Groundwater Studies, Bloemfontein (South Africa)

    2010-07-01

    This groundwater and monitoring study of 7 interlinked deep coal collieries in South Africa was conducted to develop analytical and numerical decant models of individual collieries suitable for integration into a single large model. The model will be used to prevent acid mine drainage after mining activities have stopped. The models considered interconnectivity between the mines, the geology of the overburden, the type of mining conducted at each mine, the topography and depth of the mining activities, and the piezometric levels of the mines and involved aquifers. The overburden formations in the studied region consisted of sandstone, shale, interbedded siltstone, mudstone and coal seams. Removal of the coal seams has resulted in the caving of the overlying strata into mined voids. The mining disruptions have resulted in subsidence and recharges of between 5 and 7 percent. The conceptual decant model predicted that piezometric levels of the mine will rise with the storage coefficient value of the mine. The flux from the overlying aquifers will decrease as water levels even out. Any polluted water will need to overcome 4 bar of pressure to to decant. Excess water above the weathered zone in the mines will seep out as normal unpolluted springs at lower points. Results of the numerical modelling study showed that it is unlikely that the collieries will decant, as the piezometric level of the mines will rise with the storage coefficient value of the mine. 5 refs., 4 figs.

  7. "easyMine" – realistic and systematic mine detection simulation tooltion

    Directory of Open Access Journals (Sweden)

    U. Böttger

    2004-01-01

    Full Text Available Mine detection is to date mainly performed with metal detectors, although new methods for UXO detection are explored worldwide. The main problem for the mine detection to date is, that there exist some ideas of which sensor combinations could yield a high score, but until now there is no systematic analysis of mine detection methods together with realistic environmental conditions to conclude on a physically and technically optimized sensor combination. This gap will be removed by a project “easyMine" (Realistic and systematic Mine Detection Simulation Tool which will result in a simulation tool for optimizing land mine detection in a realistic mine field. The project idea for this software tool is presented, that will simulate the closed chain of mine detection, including the mine in its natural environment, the sensor, the evaluation and application of the measurements by an user. The tool will be modularly designed. Each chain link will be an independent, exchangeable sub- module and will describe a stand alone part of the whole mine detection procedure. The advantage of the tool will be the evaluation of very different kinds of sensor combinations in relation of their real potential for mine detection. Three detection methods (metal detector, GPR and imaging IR-radiometry will be explained to be introduced into the easyMine software tool in a first step. An actual example for land mine detection problem will be presented and approaches for solutions with easyMine will be shown.

  8. WEB MINING: A SURVEY OF CURRENT RESEARCH, TECHNIQUES, AND SOFTWARE

    OpenAIRE

    QINGYU ZHANG; RICHARD S. SEGALL

    2008-01-01

    The purpose of this paper is to provide a more current evaluation and update of web mining research and techniques available. Current advances in each of the three different types of web mining are reviewed in the categories of web content mining, web usage mining, and web structure mining. For each tabulated research work, we examine such key issues as web mining process, methods/techniques, applications, data sources, and software used. Unlike previous investigators, we divide web mining pr...

  9. Mining Industry of the Future Vision: The Future Begins with Mining

    Energy Technology Data Exchange (ETDEWEB)

    none,

    1998-09-01

    The Mining Industry of the Future was started in June 1998 when the Chairman of the National Mining Association and the Secretary of Energy entered into a Compact to pursue a collaborative technology research partnership. After the Compact signing, the mining industry developed its vision document, The Future Begins with Mining, A Vision of the Mining Industry of the Future, in September 1998. This vision document lists long-term goals for the mining industry. Stemming from this vision document, targeted technology roadmaps were developed that describe pathways of research to achieve the vision goals.

  10. Ecological assessment of coal mine and metal mine drainage in South Korea using Daphnia magna bioassay

    OpenAIRE

    Lee, Sang-Ho; Kim, Injeong; Kim, Kyoung-Woong; Lee, Byung-Tae

    2015-01-01

    In order to assess the ecological effect of acid mine drainage, metal mine (Dalsung) and coal mine (Samtan) drainage in South Korea were collected. The each mine drainage then investigated by whole effluent toxicity test (WET) and toxicity identification evaluation (TIE). WET results demonstrated that DS leachate and ST mine water is more toxic than other mine drainage due to the presence of cationic metals and acidic pH. TIE results revealed that the acidic pH and copper (Cu) could be the ma...

  11. Geotechnical processes in closed oil shale mines

    International Nuclear Information System (INIS)

    During the years 1998-2001 geotechnical processes in closed underground oil shale mines and open casts were investigated. In addition to kukersite oil shale deposit, the closed Sillamaee uranium (Dictyonema shale) mine was prospected. The main tools and methods included mine plans, aerial photographs and Geographical Information System data. 290 km2 of underground and 130 km2of strip-mined areas were studied. The mining maps of Estonian underground and surface mines were created. The stability of underground mined area, where room-and-pillar method was used, was the main objective of the study. It was studied with the help of aerial photographs, mine drawings, maps of quaternary sediments and mathematical modeling of rock failure. The main results are: 20 % of subsidences remain undiscovered and 42 % of subsidence occurrences have no remarkable influence to the land cover; the probability of subsidence remains and may increase in the case of mine drowning. As several mines will be closed during the next few years, the problems of drowned waste (which were not subjects of this study) are going to be more actual than before: increasing underground water level, pollution of underground water, formation of technogenic water sources, overflooding of reclaimed areas, etc. (author)

  12. Underground Prehistoric Mining in Europe

    Directory of Open Access Journals (Sweden)

    Salvador Domínguez Bella

    2009-09-01

    Full Text Available In the south-west of Spain, the archaeological site of El Jadramil (Arcos de la Frontera, Cádiz presents a great number of vertical cylindrical pits and horizontal subterranean galleries, with an estimated chronology of the Bronze Age (3000-2000 BC. A new interpretation of underground extractive mining techniques used at the site is presented in this article. The archaeology of the site shows how agricultural societies exploited local raw materials. A preliminary geoarchaeological study of these mining structures and an aerial survey of the site have been carried out. The geological relationship to the possible raw material extracted from this site and the properties of these materials are discussed.

  13. Admit: Alma Data Mining Toolkit

    Science.gov (United States)

    Friedel, Douglas; Looney, Leslie; Xu, Lisa; Pound, Marc W.; Teuben, Peter J.; Rauch, Kevin P.; Mundy, Lee; Kern, Jeffrey S.

    2015-06-01

    ADMIT (ALMA Data Mining Toolkit) is a toolkit for the creation and analysis of new science products from ALMA data. ADMIT is an ALMA Development Project written purely in Python. While specifically targeted for ALMA science and production use after the ALMA pipeline, it is designed to be generally applicable to radio-astronomical data. ADMIT quickly provides users with a detailed overview of their science products: line identifications, line 'cutout' cubes, moment maps, emission type analysis (e.g., feature detection), etc. Users can download the small ADMIT pipeline product (data mining between many astronomical sources and line transitions will be possible. Users will also be able to enhance the capabilities of ADMIT by creating customized ADMIT tasks satisfying any special processing needs. Future implementations of ADMIT may include EVLA and other instruments.

  14. Regional medical data mining system.

    Science.gov (United States)

    Robu, Raul; Stoicu-Tivadar, Vasile

    2011-01-01

    This paper suggests a solution to acquire medical data from hospitals located in a region (addressing especially the DKMT Euroregion), and then perform data mining. The medical data from the hospital databases are exported in XML format, according to HL7 CDA standard. Afterwards, they are automatically centralized on a server in a database using web services calls. The data will be analyzed with the data mining tool WEKA. Data of interest are converted into ARFF format and loaded into WEKA. The next stage consists in preprocessing and analyzing the data based on the algorithms provided by WEKA, having as a goal several relevant medical conclusions. WEKA application interface has been improved to facilitate the process of performing predictions. PMID:21685596

  15. Data mining concepts and techniques

    CERN Document Server

    Han, Jiawei

    2005-01-01

    Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and app...

  16. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY

    Energy Technology Data Exchange (ETDEWEB)

    Zvi H. Meiksin

    2004-03-01

    A comprehensive mine-wide, two-way wireless voice and data communication system for the underground mining industry was developed. The system achieves energy savings through increased productivity and greater energy efficiency in meeting safety requirements within mines. The mine-wide system is comprised of two interfaced subsystems: a through-the-earth communications system and an in-mine communications system. The mine-wide system permits two-way communication among underground personnel and between underground and surface personnel. The system was designed, built, and commercialized. Several systems are in operation in underground mines in the United States. The use of these systems has proven they result in considerable energy savings. A system for tracking the location of vehicles and people within the mine was also developed, built and tested successfully. Transtek's systems are being used by the National Institute of Occupational Safety and Health (NIOSH) in their underground mine rescue team training program. This project also resulted in a spin-off rescue team lifeline and communications system. Furthermore, the project points the way to further developments that can lead to a GPS-like system for underground mines allowing the use of autonomous machines in underground mining operations, greatly reducing the amount of energy used in these operations. Some products developed under this program are transferable to applications in fields other than mining. The rescue team system is applicable to use by first responders to natural, accidental, or terrorist-caused building collapses. The in-mine communications system can be installed in high-rise buildings providing in-building communications to security and maintenance personnel as well as to first responders.

  17. ON MINING ENTREPRENEURSHIP IN BANOVINA REGION (CROATIA

    Directory of Open Access Journals (Sweden)

    Berislav Šebečić

    2000-12-01

    Full Text Available Mining activities in exploitation of iron, copper, and lead (-silver ores in Trgovska gora Mountain had been developed back in Illyrian and Roman times as well as in the Middle Ages and recent times whereas in Petrova gora Mountain exploitation of iron oreš and coal developed as late as in 19 and 20 centuries. In the Middle Ages and more recent times, Croatian nobility (counts of Zrinski and Keglević and later on also the foreign nobility or foreign and domestic mining associations were given mining concessions.The mining enterprise in the Banovina Region passed to different owners and managers from mid —19 century to mid — 20 century. During the Austro-Hungarian rule the main mining concession was owned by »Gewerkschaft der Eisenbergwerke und Huttenwerke Petrova gora zu Topusko« or its shorter version »Petrova gora Gewerkschaft«. The major mining entrepreneurs on the Trgovska gora Mountain at Bešlinac were Desire Gilain, Joseph Steinauer and Alois Frohm. After the World War I and confiscation of properties of foreign mining associations and entrepreneurs, there were constituted and bankrupted rather quickly the Petrova gora Association of Mines and Foundry at Topusko, the Slavenska Bank Zagreb (until 1923, as well as the Iron Mine and Foundry Inc. at Topusko. After the bancruptey of National Industrial Enterprise Zagreb (1929, the Mining Association and (Iron Foundry was founded at Bešlinac (1934. In the region of Banovina there were operating also: the Kupa-Glina Mining Association (active also during the Austro-Hungarian rule, Mineral Mining Association from Topusko, as vvell as the Iron Mine and Foundry Topusko-Vojnić Headquarters. All the mentioned associations and entrepreneurs were confiscated by the Federal People's Republic of Yugoslavia in 1946.

  18. Data Mining in Electronic Commerce

    OpenAIRE

    Banks, David L.; Said, Yasmin H.

    2006-01-01

    Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among whom are statisticians. This paper focuses on some of the contributions that statisticians are making to help change the business world, especially through the development and application of data mining methods. This is a very large area, and the topics we...

  19. Bauxite Mining and Alumina Refining

    OpenAIRE

    Donoghue, A. Michael; Frisch, Neale; Olney, David

    2014-01-01

    Objective: To describe bauxite mining and alumina refining processes and to outline the relevant physical, chemical, biological, ergonomic, and psychosocial health risks. Methods: Review article. Results: The most important risks relate to noise, ergonomics, trauma, and caustic soda splashes of the skin/eyes. Other risks of note relate to fatigue, heat, and solar ultraviolet and for some operations tropical diseases, venomous/dangerous animals, and remote locations. Exposures to bauxite dust,...

  20. WIRELESS MINE WIDE TELECOMMUNICATION TECHNOLOGY

    Energy Technology Data Exchange (ETDEWEB)

    Zvi H. Meiksin

    2002-10-01

    Work is being done to transmit data via our through-the-earth communications system. After evaluating several methods, quadrature phase shift keying was selected as the preferred method. Coding was added to voice communication to increase reliability when two-way radios are being used as input and output devices. For in-mine communication, we are studying to increase the versatility of our system through the addition of Ethernet ports.

  1. Investigating MOOCs Through Blog Mining

    OpenAIRE

    Yong Chen

    2014-01-01

    MOOCs (massive open online course) is a disruptive innovation and a current buzzword in higher education. However, the discussion of MOOCs is disparate, fragmented, and distributed among different outlets. Systematic, extensively published research on MOOCs is unavailable. This paper adopts a novel method called blog mining to analyze MOOCs. The findings indicate, while MOOCs have benefitted learners, providers, and faculty who develop and teach MOOCs, challenges still exist, such as question...

  2. Probe aids mine stability work

    International Nuclear Information System (INIS)

    A simple device for measuring the thickness of mudstone or shale in underground coal mines has been developed. The probe detects the point where shale gives way to sandstone in a bolt hole. Naturally occurring radioisotopes present in mudstone and shale emit gamma rays, and the radiation count given by the probe reveals whether the sensor is surrounded by one of those materials or by sandstone

  3. Philippine Mining Capitalism: The Changing Terrains of Struggle in the Neoliberal Mining Regime

    Directory of Open Access Journals (Sweden)

    Alvin A. Camba

    2016-06-01

    Full Text Available This article analyzes how the mining sector and anti-mining groups compete for mining outcomes in the Philippines. I argue that the transition to a neoliberal mineral regime has empowered the mining sector and weakened the mining groups by shifting the terrains of struggle onto the domains of state agencies and scientific networks. Since the neoliberal era, the mining sector has come up with two strategies. First, technologies of subjection elevate various public institutions to elect and select the processes aimed at making mining accountable and sensitive to the demands of local communities. However, they often refuse or lack the capacity to intervene effectively. Second, technologies of subjectivities allow a selective group of industry experts to single-handedly determine the environmental viability of mining projects. Mining consultants, specialists, and scientists chosen by mining companies determine the potential environmental damage on water bodies, air pollution, and soil erosion. Because of the mining capital’s access to economic and legal resources, anti-mining communities across the Philippines have been forced to compete on an unequal terrain for a meaningful social dialogue and mining outcomes.

  4. Simulation Of Mine Water Inflow: Case Study Of The Štavalj Coal Mine (Southwestern Serbia)

    Science.gov (United States)

    Miladinović, Branko; Vakanjac, Vesna Ristić; Bukumirović, Dragomir; Dragišić, Veselin; Vakanjac, Boris

    2015-12-01

    The inflow of mine water to mining operations is often caused by random events such as precipitation. Consequently, the mine water inflow regime can be defined as a function of random events applying the theory of random processes. Regression models of the multiple linear correlation type have been used to simulate the inflow of mine water into mining operations, produce short-range predictions and facilitate rapid response inside the mine. The significance of such models lies in the ability to simulate and predict the consequences (mine water inflow), caused by events of a random nature (meteorological parameters: precipitation and air temperature). The presented prognostic models have been calibrated for mine water inflow to the Štavalj Coal Mine in southwestern Serbia. Mathematical dependencies were defined based on daily mine water inflow rates recorded during the period from 2003 to 2011, which can be used to generate short-range (1-7 day) predictions of mean daily mine water inflow rates to the Štavalj Coal Mine. A strong correlation (coefficient of correlation r = 0.93, Sig. = 0.00) was derived for the one-day forecast. The coefficients of correlation for predictions of mean daily mine water inflow rates related to time periods of two, three...seven days gradually declined to 0.63 (7-day mean daily inflow rate).

  5. Text Mining in Social Networks

    Science.gov (United States)

    Aggarwal, Charu C.; Wang, Haixun

    Social networks are rich in various kinds of contents such as text and multimedia. The ability to apply text mining algorithms effectively in the context of text data is critical for a wide variety of applications. Social networks require text mining algorithms for a wide variety of applications such as keyword search, classification, and clustering. While search and classification are well known applications for a wide variety of scenarios, social networks have a much richer structure both in terms of text and links. Much of the work in the area uses either purely the text content or purely the linkage structure. However, many recent algorithms use a combination of linkage and content information for mining purposes. In many cases, it turns out that the use of a combination of linkage and content information provides much more effective results than a system which is based purely on either of the two. This paper provides a survey of such algorithms, and the advantages observed by using such algorithms in different scenarios. We also present avenues for future research in this area.

  6. Portable humanitarian mine detector overview

    Science.gov (United States)

    Allsopp, David J.; Dibsdall, Ian M.

    2002-08-01

    This paper will present an overview and early results of the QinetiQ Portable Humanitarian Mine Detector project, funded by the UK Treasury Capital Modernization Fund. The project aims to develop a prototype multi-sensor man-portable detector for humanitarian demining, drawing on experience from work for UK MoD. The project runs from July 2000 to October 2002. The project team have visited mined areas and worked closely with a number of demining organizations and a manufacturer of metal detectors used in the field. The primary objective is to reduce the number of false alarms resulting from metallic ground clutter. An analysis of such clutter items found during actual demining has shown a large proportion to be very small when compared with anti-personnel mines. The planned system integrates: a lightweight multi-element pseudo-random-code ground penetrating radar array; a pulse induction metal detector and a capacitive sensor. Data from the GPR array and metal detector are fused to provide a simple audio-visual operator interface. The capacitive sensor provides information to aid processing of the radar responses and to provide feedback to the operator of the position of the sensors above the ground. At the time of presentation the project should be in the final stages of build, prior to tests and field trials, which QinetiQ hope to carry out under the International Test and Evaluation Project (ITEP) banner.

  7. Differentially Private Frequent Subgraph Mining

    Science.gov (United States)

    Xu, Shengzhi; Xiong, Li; Cheng, Xiang; Xiao, Ke

    2016-01-01

    Mining frequent subgraphs from a collection of input graphs is an important topic in data mining research. However, if the input graphs contain sensitive information, releasing frequent subgraphs may pose considerable threats to individual's privacy. In this paper, we study the problem of frequent subgraph mining (FGM) under the rigorous differential privacy model. We introduce a novel differentially private FGM algorithm, which is referred to as DFG. In this algorithm, we first privately identify frequent subgraphs from input graphs, and then compute the noisy support of each identified frequent subgraph. In particular, to privately identify frequent subgraphs, we present a frequent subgraph identification approach which can improve the utility of frequent subgraph identifications through candidates pruning. Moreover, to compute the noisy support of each identified frequent subgraph, we devise a lattice-based noisy support derivation approach, where a series of methods has been proposed to improve the accuracy of the noisy supports. Through formal privacy analysis, we prove that our DFG algorithm satisfies ε-differential privacy. Extensive experimental results on real datasets show that the DFG algorithm can privately find frequent subgraphs with high data utility.

  8. Longwall mining “cutting cantilever beam theory” and 110 mining method in China—The third mining science innovation

    Directory of Open Access Journals (Sweden)

    Manchao He

    2015-10-01

    Full Text Available With the third innovation in science and technology worldwide, China has also experienced this marvelous progress. Concerning the longwall mining in China, the “masonry beam theory” (MBT was first proposed in the 1960s, illustrating that the transmission and equilibrium method of overburden pressure using reserved coal pillar in mined-out areas can be realized. This forms the so-called “121 mining method”, which lays a solid foundation for development of mining science and technology in China. The “transfer rock beam theory” (TRBT proposed in the 1980s gives a further understanding for the transmission path of stope overburden pressure and pressure distribution in high-stress areas. In this regard, the advanced 121 mining method was proposed with smaller coal pillar for excavation design, making significant contributions to improvement of the coal recovery rate in that era. In the 21st century, the traditional mining technologies faced great challenges and, under the theoretical developments pioneered by Profs. Minggao Qian and Zhenqi Song, the “cutting cantilever beam theory” (CCBT was proposed in 2008. After that the 110 mining method is formulated subsequently, namely one stope face, after the first mining cycle, needs one advanced gateway excavation, while the other one is automatically formed during the last mining cycle without coal pillars left in the mining area. This method can be implemented using the CCBT by incorporating the key technologies, including the directional pre-splitting roof cutting, constant resistance and large deformation (CRLD bolt/anchor supporting system with negative Poisson's ratio (NPR effect material, and remote real-time monitoring technology. The CCBT and 110 mining method will provide the theoretical and technical basis for the development of mining industry in China.

  9. CSIR: Mining Technology annual review 1996/97

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-31

    CSIR: Mining Technology works in close collaboration and strategic partnership with the mining industry, government institutions and employee organizations by acquiring, developing and transferring technologies to improve the safety and health of their employees, and to improve the profitability of the mining industry. The annual report describes achievements over the year in the areas of: rock engineering (including rockburst control, mine layout, stope and gully support, coal mining); environmental safety and health on topics such as occupational hygiene services, methane explosions, blasting techniques; and mining systems (orebody information, hydraulic transport mine mechanization, engineering design and automation, mine services). A list of Mining Technology`s 1996/97 publications is given.

  10. Demo: Using RapidMiner for Text Mining

    OpenAIRE

    Shterev, Yordan

    2013-01-01

    In this demo the basic text mining technologies by using RapidMining have been reviewed. RapidMining basic characteristics and operators of text mining have been described. Text mining example by using Navie Bayes algorithm and process modeling have been revealed.

  11. 30 CFR 57.22308 - Methane monitors (III mines).

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Methane monitors (III mines). 57.22308 Section... Standards for Methane in Metal and Nonmetal Mines Equipment § 57.22308 Methane monitors (III mines). (a) Methane monitors shall be installed on continuous mining machines and longwall mining systems. (b)...

  12. 30 CFR 77.1201 - Certification of mine maps.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Certification of mine maps. 77.1201 Section 77.1201 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND... Maps § 77.1201 Certification of mine maps. Mine maps shall be made or certified by an engineer...

  13. 多媒体开采初探%Multimedia Mining

    Institute of Scientific and Technical Information of China (English)

    陈剑赟; 老松扬; 吴玲达

    2003-01-01

    This paper is a primary study of multimedia mining. It first explains the basic concepts of multimedia min-ing and classifies multimedia mining. Then it outlines two kinds of frameworks of multimedia mining function-drivenone and information-driven one. At last it introduces the process and methods of multimedia mining.

  14. 78 FR 58567 - Criteria to Certify Coal Mine Rescue Teams

    Science.gov (United States)

    2013-09-24

    ... Safety and Health Administration Criteria to Certify Coal Mine Rescue Teams AGENCY: Mine Safety and... mine rescue team training. MSHA prescribes training materials through the issuance of instruction guides. Existing standards for coal mine rescue teams include criteria for mine operators to certify...

  15. 30 CFR 77.1500 - Auger mining; planning.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Auger mining; planning. 77.1500 Section 77.1500 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH... § 77.1500 Auger mining; planning. Auger mining shall be planned and conducted by the operator to...

  16. 30 CFR 49.30 - Requirements for small coal mines.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for small coal mines. 49.30 Section 49.30 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.30 Requirements for small...

  17. 30 CFR 49.40 - Requirements for large coal mines.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Requirements for large coal mines. 49.40 Section 49.40 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR EDUCATION AND TRAINING MINE RESCUE TEAMS Mine Rescue Teams for Underground Coal Mines § 49.40 Requirements for large...

  18. Monitoring genotoxic exposure in uranium mines

    International Nuclear Information System (INIS)

    Recent data from deep uranium mines in Czechoslovakia indicated that miners are exposed to other mutagenic factors in addition to radon daughter products. Mycotoxins were identified as a possible source of mutagens in these mines. Mycotoxins were examined in 38 samples from mines and in throat swabs taken from 116 miners and 78 controls. The following mycotoxins were identified from mines samples: aflatoxins B1 and G1, citrinin, citreoviridin, mycophenolic acid, and sterigmatocystin. Some mold strains isolated from mines and throat swabs were investigated for mutagenic activity by the SOS chromotest and Salmonella assay with strains TA100 and TA98. Mutagenicity was observed, especially with metabolic activation in citro. These data suggest that mycotoxins produced by molds in uranium mines are a new genotoxic factor im uranium miners. 17 refs., 4 tabs

  19. Injury experience in coal mining, 1989

    Energy Technology Data Exchange (ETDEWEB)

    1990-01-01

    This Mine and Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1989. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. 3 figs., 46 tabs.

  20. Injury experience in metallic mineral mining, 1989

    Energy Technology Data Exchange (ETDEWEB)

    1990-01-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral mining in the the United States for 1989. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. 3 figs., 46 tabs.

  1. Injury experience in stone mining, 1989

    Energy Technology Data Exchange (ETDEWEB)

    1990-01-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail occupational injury and illness experience of stone mining in the United States for 1989. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. 3 figs., 46 tabs.

  2. Mine Drainage Generation and Control Options.

    Science.gov (United States)

    Wei, Xinchao; Rodak, Carolyn M; Zhang, Shicheng; Han, Yuexin; Wolfe, F Andrew

    2016-10-01

    This review provides a snapshot of papers published in 2015 relevant to the topic of mine drainage generation and control options. The review is broken into 3 sections: Generation, Prediction and Prevention, and Treatment Options. The first section, mine drainage generation, focuses on the characterization of mine drainage and the environmental impacts. As such, it is broken into three subsections focused on microbiological characterization, physiochemical characterization, and environmental impacts. The second section of the review is divided into two subsections focused on either the prediction or prevention of acid mine drainage. The final section focuses on treatment options for mine drainage and waste sludge. The third section contains subsections on passive treatment, biological treatment, physiochemical treatment, and a new subsection on beneficial uses for mine drainage and treatment wastes.

  3. Injury experience in metallic mineral mining, 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral mining in the United States for 1992. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  4. Injury experience in coal mining, 1990

    Energy Technology Data Exchange (ETDEWEB)

    None

    1991-01-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1990. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  5. Injury experience in metallic mineral mining, 1991

    Energy Technology Data Exchange (ETDEWEB)

    1993-10-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of metallic mineral mining in the United States for 1991. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  6. Monitoring genotoxic exposure in uranium mines

    Energy Technology Data Exchange (ETDEWEB)

    Sram, R.J.; Vesela, D.; Vesely, D. [Institute of Experimental Medicine, Prague (Czech Republic)] [and others

    1993-10-01

    Recent data from deep uranium mines in Czechoslovakia indicated that miners are exposed to other mutagenic factors in addition to radon daughter products. Mycotoxins were identified as a possible source of mutagens in these mines. Mycotoxins were examined in 38 samples from mines and in throat swabs taken from 116 miners and 78 controls. The following mycotoxins were identified from mines samples: aflatoxins B{sub 1} and G1, citrinin, citreoviridin, mycophenolic acid, and sterigmatocystin. Some mold strains isolated from mines and throat swabs were investigated for mutagenic activity by the SOS chromotest and Salmonella assay with strains TA100 and TA98. Mutagenicity was observed, especially with metabolic activation in citro. These data suggest that mycotoxins produced by molds in uranium mines are a new genotoxic factor im uranium miners. 17 refs., 4 tabs.

  7. Mine Drainage and Oil Sand Water.

    Science.gov (United States)

    Wei, Xinchao; Wolfe, F Andrew; Li, Yanjun

    2015-10-01

    Mine drainage from the mining of mineral resources (coal, metals, oil sand, or industrial minerals) remains as a persistent environmental problem. This review summarizes the scientific literature published in 2014 on the technical issues related to mine drainage or mine water in active and abandoned coal/hard rock mining sites or waste spoil piles. Also included in this review is the water from oil sand operations. This review is divided into the four sections: 1) mine drainage characterization, 2) prediction and environmental impact, 3) treatment technologies, 4) oil sand water. Many papers presented in this review address more than one aspect and different sections should not be regarded as being mutuallyexclusive or all-inclusive.

  8. Injury experience in stone mining, 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of stone mining in the United States for 1992. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and principal type of mineral. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison with other metal and nonmetallic mineral mining industries and with coal mining, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  9. Semantic Web Mining: Benefits, Challenges and Opportunities

    Directory of Open Access Journals (Sweden)

    Syeda Farha Shazmeen

    2012-12-01

    Full Text Available Semantic Web Mining aims at combining the two areas Semantic Web and Web Mining by using semantics to improve mining and using mining to create semantics. Web Mining aims at discovering insights about the meaning of Web resources and their usage In Semantic Web, the semantics information is presented by the relation with others and is recorded by RDF. RDF which is semantic web technology that can be utilized to build efficient and scalable systems for Cloud. The Semantic Web enriches the World Wide Web by machine process able information which supports the user in his tasks, and also helps the users to get the exact search result .In this paper; we discuss the interplay of the Semantic Web with Web Mining, list out the benefits. Challenges, opportunities of the Semantic web are discussed.

  10. Xinjiang to Build Its Largest Copper Mine

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    <正>On September 16, the 6,000,000-ton mining project of Hudehe Copper Mine kicked off, which is the largest copper mine in Xinjiang.Jointly developed by Xinjiang Nonferrous Metals Group and Gansu Jianxin Group, Hudehe Copper Mine is located at Tuoli County, Tacheng Prefecture, Xinjiang. It is a large-scale porphyry-type copper deposit with proven copper reserve of 362,500 tons and prospective reserve of 1,000,000 tons(metal content). According to the preliminary plan, it will be built into a mine with mining and dressing capacity of 6,000,000 tons/year. With a total investment of RMB 1.466 billion, the project is expected to achieve annual sales revenue of RMB 0.8 billion and provide jobs for nearly 1,000 people.

  11. Exploratory analysis of Spanish energetic mining accidents.

    Science.gov (United States)

    Sanmiquel, Lluís; Freijo, Modesto; Rossell, Josep M

    2012-01-01

    Using data on work accidents and annual mining statistics, the paper studies work-related accidents in the Spanish energetic mining sector in 1999-2008. The following 3 parameters are considered: age, experience and size of the mine (in number of workers) where the accident took place. The main objective of this paper is to show the relationship between different accident indicators: risk index (as an expression of the incidence), average duration index for the age and size of the mine variables (as a measure of the seriousness of an accident), and the gravity index for the various sizes of mines (which measures the seriousness of an accident, too). The conclusions of this study could be useful to develop suitable prevention policies that would contribute towards a decrease in work-related accidents in the Spanish energetic mining industry. PMID:22721539

  12. Fast Vertical Mining Using Boolean Algebra

    Directory of Open Access Journals (Sweden)

    Hosny M. Ibrahim

    2015-01-01

    Full Text Available The vertical association rules mining algorithm is an efficient mining method, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantage of scanning database many times like Apriori algorithm. In vertical mining, frequent itemsets can be represented as a set of bit vectors in memory, which enables for fast computation. The sizes of bit vectors for itemsets are the main space expense of the algorithm that restricts its expansibility. Therefore, in this paper, a proposed algorithm that compresses the bit vectors of frequent itemsets will be presented. The new bit vector schema presented here depends on Boolean algebra rules to compute the intersection of two compressed bit vectors without making any costly decompression operation. The experimental results show that the proposed algorithm, Vertical Boolean Mining (VBM algorithm is better than both Apriori algorithm and the classical vertical association rule mining algorithm in the mining time and the memory usage.

  13. Injury experience in coal mining, 1992

    Energy Technology Data Exchange (ETDEWEB)

    Reich, R.B.; Hugler, E.C.

    1994-05-01

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1992. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report.

  14. Environmental protection in brown coal mining with the example of the Belchatow brown coal surface mine

    Energy Technology Data Exchange (ETDEWEB)

    Wasowicz, J.

    1986-01-01

    Discusses environmental policy of Poland with the example of the Belchatow brown coal surface mine, the largest in Poland. The following problems are evaluated: collecting detailed information on water conditions in the Belchatow mine and environmental pollution prior to mine construction, construction of a pipeline system for water supply prior to mine draining, effects of mine draining on formation of a large drawdown cone, effects of lowering the ground water table on vegetation, forests, agriculture in the area, water conditions, river flow, water pollution from the Belchatow mine, water treatment plants, dust emission from Belchatow cuts and spoil banks, land reclamation after surface mining (plant growth, grass, afforestation), standardized methods for land reclamation, economic aspects of environmental protection, organizational models of environmental protection in a large brown coal surface mine.

  15. Domain-oriented data-driven data mining:a new understanding for data mining

    Institute of Scientific and Technical Information of China (English)

    WANG Guo-yin; WANG Yan

    2008-01-01

    Recent advances in computing, communications, digital storage technologies, and high-throughput dam-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from database. Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for processing large volumes of data, such as data analysis, decision making, etc.There are many researchers working on designing efficient data mining techniques, methods, and algorithms. Unfortunate-ly, most data mining researchers pay much attention to technique problems for developing data mining models and methods,while little to basic issues of data mining. In this paper, we will propose a new understanding for data mining, that is, do-main-oriented data-driven data mining (3DM) model. Some data-driven data mining algorithms developed in our Lab are al-so presented to show its validity.

  16. Abandoned Uranium Mine (AUM) Priority and Tronox Mine Sites, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains polygon features that represent mines with Tronox enforcement actions as of March 2016 that are also classified as priority mines. USEPA...

  17. Ecological assessment of coal mine and metal mine drainage in South Korea using Daphnia magna bioassay.

    Science.gov (United States)

    Lee, Sang-Ho; Kim, Injeong; Kim, Kyoung-Woong; Lee, Byung-Tae

    2015-01-01

    In order to assess the ecological effect of acid mine drainage, metal mine (Dalsung) and coal mine (Samtan) drainage in South Korea were collected. The each mine drainage then investigated by whole effluent toxicity test (WET) and toxicity identification evaluation (TIE). WET results demonstrated that DS leachate and ST mine water is more toxic than other mine drainage due to the presence of cationic metals and acidic pH. TIE results revealed that the acidic pH and copper (Cu) could be the main toxicants in both mine drainage. The strong acidic pH (pH toxicity by increase of metal activity and bioavailability. The toxicity of most mine drainage revealed that the positive correlation between metal concentration and toxicity unit (TU). The regression data between TU and sum of cumulative criterion unit (CCU) demonstrated the reasonable statistical significance (R = 0.89; p toxicity by the effect of amorphous iron precipitate. PMID:26405638

  18. Design of mine ventilation vis a vis the model of an underground black coal mine

    Energy Technology Data Exchange (ETDEWEB)

    Niemiec, G.; Drenda, J.; Pszczolka, M. [Politechnika Slaska, Gliwice (Poland). Katedra Eksploatacji Zloz

    1992-12-31

    Discusses the KOWEKO computer program developed in 1988-1990 within the WWK Nr 103 branch research program for design of ventilation systems in underground black coal mines. The program is used for optimization of mine design and mine modernization. The basic ventilation systems used in Poland are comparatively evaluated: a central ventilation system, a wing ventilation system and a combined (central-wing) ventilation system. The KOWEKO program is used for the following calculations: volume of air for mine ventilation, ventilation capacity of ventilation tunnels, number and dimensions of mine shafts and main development workings, parameters of main blowers, range of influence of individual blowers. The program is also used for selecting the optimum arrangement of mine shafts and selecting the optimum site for additional mine shafts during mine modernization. Practical use of the program is explained on a number of examples.

  19. Abandoned Uranium Mine (AUM) Trust Mine Areas, Navajo Nation, 2016, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — This GIS dataset contains polygon features that represent mine areas included in the Navajo Environmental Response Trust. This mine category also includes Priority...

  20. A Study on Selective Data Mining Algorithms

    Directory of Open Access Journals (Sweden)

    A. N. Pathak

    2011-03-01

    Full Text Available Data mining is a field of database application that searches for unknown patterns in data that can be used to predict future behavior. Basically data mining is a technique not to change the presentation but to discover unknown relationships between the data. Data mining is termed as software, which is used to describe data in a new way, which is not true.

  1. Distributed data mining in grid computing environments

    OpenAIRE

    Luo, P.; Lü, K; Z Shi; Q. He

    2007-01-01

    The official published version of this article can be found at the link below. The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an effective scheduling framework. DDM often shares the computing paradigm of local processing and global synthesizing. It involves every phase of Data Mining (DM) processes, which makes the workflow of DDM very complex and can be modelled ...

  2. Distributed classification for pocket data mining

    OpenAIRE

    Stahl, F.; Gaber, M; Liu, Han; Bramer, Max; Yu, P.

    2011-01-01

    Distributed and collaborative data stream mining in a mobile computing environment is referred to as Pocket Data Mining PDM. Large amounts of available data streams to which smart phones can subscribe to or sense, coupled with the increasing computational power of handheld devices motivates the development of PDM as a decision making system. This emerging area of study has shown to be feasible in an earlier study using technological enablers of mobile software agents and stream mining techniq...

  3. Applications of Data Mining in Higher Education

    OpenAIRE

    Monika Goyal; Rajan Vohra

    2012-01-01

    Data analysis plays an important role for decision support irrespective of type of industry like any manufacturing unit and educations system. There are many domains in which data mining techniques plays an important role. This paper proposes the use of data mining techniques to improve the efficiency of higher education institution. If data mining techniques such as clustering, decision tree and association are applied to higher education processes, it would help to improve students performa...

  4. Bitcoin Mining and its Energy Footprint

    OpenAIRE

    O’Dwyer, Karl J.; Malone, David

    2014-01-01

    Bitcoin is a digital cryptocurrency that has generated considerable public interest, including both booms in value and busts of exchanges dealing in Bitcoins. One of the fundamental concepts of Bitcoin is that work, called mining, must be done in checking all monetary transactions, which in turn creates Bitcoins as a reward. In this paper we look at the energy consumption of Bitcoin mining. We consider if and when Bitcoin mining has been profitable compared to the energy cost o...

  5. Issues in Data Mining and Information Retrieval

    OpenAIRE

    Ammar Yassir; Smitha Nayak

    2012-01-01

    Data mining, as we use the term, is the exploration and analysis of large quantities of data in order to discover meaningful patterns and rules. For the purposes of this book, we assume that the goal of data mining is to allow a corporation to improve its marketing, sales, and customer support operations through a better understanding of its customers. Keep in mind, however, that the data mining techniques and tools described here are equally applicable in fields ranging from law enforcement ...

  6. Quantum Privacy-Preserving Data Mining

    OpenAIRE

    Ying, Shenggang; Ying, Mingsheng; Feng, Yuan

    2015-01-01

    Data mining is a key technology in big data analytics and it can discover understandable knowledge (patterns) hidden in large data sets. Association rule is one of the most useful knowledge patterns, and a large number of algorithms have been developed in the data mining literature to generate association rules corresponding to different problems and situations. Privacy becomes a vital issue when data mining is used to sensitive data sets like medical records, commercial data sets and nationa...

  7. Guano mining in Kenyan lava tunnel caves

    OpenAIRE

    Jim W. Simons

    1998-01-01

    Commercial mining of bat guano for agricultural fertilizer only became possible in Kenya through discovery of major deposits in the lava tunnel caves of Mt. Suswa and the North Chyulu Hills in the early 1960’s. This paper provides historical information leading up to the guano mining, describes the cave deposits, outlines the mining under-takings, and provides information on the guano producing bats and insect faunas. The results of guano analyses, details of the tonnages extracted and sold t...

  8. Mining industry in USA in 2010

    International Nuclear Information System (INIS)

    Total uranium drilling was 7209 holes covering 1493520 m in USA in 2010, uranium production reached 1628.55 t, total expenditure on uranium mine industry reached $ 2.77 × 107 in 2010, in which expenditures for uranium exploration was $ 3.45 × 107, making up 12.44% of the total expenditure for uranium mine industry. Drilling expenditure for uranium exploration was $ 4.46 × 107, making up 16.08% of total expenditure for uranium mine industry. (authors)

  9. SEMANTIC WEB MINING: ISSUES AND CHALLENGES

    OpenAIRE

    Karan Singh*, Anil kumar, Arun Kumar Yadav

    2016-01-01

    The combination of the two fast evolving scientific research areas “Semantic Web” and “Web Mining” are well-known as “Semantic Web Mining” in computer science. These two areas cover way for the mining of related and meaningful information from the web, by this means giving growth to the term “Semantic Web Mining”. The “Semantic Web” makes mining easy and “Web Mining” can construct new structure of Web. Web Mining applies ...

  10. Qualitative Data Mining and Its Applications

    OpenAIRE

    Bratko, Ivan; Šuc, Dorian

    2003-01-01

    In machine learning from numerical data, usually the target concept is a numerical function that facilitates quantitative prediction. In contrast to this, we consider qualitative data mining which aims at finding qualitative patterns, or qualitative relationships in numerical data. We present one approach to qualitative data mining, in which the target concepts are expressed as qualitative decision trees. We reviewsome case studies in qualitative data mining, and discuss typical application s...

  11. DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE

    OpenAIRE

    Mirza Suljić; Edin Osmanbegović

    2012-01-01

    Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was to develop a model which can derive the conclusion on students' academic success. Different methods and techniques of data mining were compared during the prediction of students' success, applying the d...

  12. A survey of temporal data mining

    OpenAIRE

    Laxman, Srivatsan; Sastry, PS

    2006-01-01

    Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since t...

  13. Proximity to mining industry and cancer mortality.

    Science.gov (United States)

    Fernández-Navarro, Pablo; García-Pérez, Javier; Ramis, Rebeca; Boldo, Elena; López-Abente, Gonzalo

    2012-10-01

    Mining installations are releasing toxic substances into the environment which could pose a health problem to populations in their vicinity. We sought to investigate whether there might be excess cancer-related mortality in populations residing in towns lying in the vicinity of Spanish mining industries governed by the Integrated Pollution Prevention and Control Directive, and the European Pollutant Release and Transfer Register Regulation, according to the type of extraction method used. An ecologic study was designed to examine municipal mortality due to 32 types of cancer, across the period 1997 through 2006. Population exposure to pollution was estimated on the basis of distance from town of residence to pollution source. Poisson regression models, using the Bayesian conditional autoregressive model proposed by Besag, York and Molliè and Integrated Nested Laplace Approximations for Bayesian inference, were used: to analyze risk of dying from cancer in a 5-kilometer zone around mining installations; effect of type of industrial activity; and to conduct individual analyses within a 50-kilometer radius of each installation. Excess mortality (relative risk, 95% credible interval) of colorectal cancer (1.097, 1.041-1.157), lung cancer (1.066, 1.009-1.126) specifically related with proximity to opencast coal mining, bladder cancer (1.106, 1.016-1.203) and leukemia (1.093, 1.003-1.191) related with other opencast mining installations, was detected among the overall population in the vicinity of mining installations. Other tumors also associated in the stratified analysis by type of mine, were: thyroid, gallbladder and liver cancers (underground coal installations); brain cancer (opencast coal mining); stomach cancer (coal and other opencast mining installations); and myeloma (underground mining installations). The results suggested an association between risk of dying due to digestive, respiratory, hematologic and thyroid cancers and proximity to Spanish mining

  14. Discover Effective Pattern for Text Mining

    OpenAIRE

    Khade, A. D.; A. B. Karche

    2014-01-01

    Many data mining techniques have been discovered for finding useful patterns in documents like text document. However, how to use effective and bring to up to date discovered patterns is still an open research task, especially in the domain of text mining. Text mining is the finding of very interesting knowledge (or features) in the text documents. It is a challenging task to find appropriate knowledge (or features) in text documents to help users to find what they exactly want...

  15. Fast Vertical Mining Using Boolean Algebra

    OpenAIRE

    Hosny M. Ibrahim; Marghny, M. H.; Noha M. A. Abdelaziz

    2015-01-01

    The vertical association rules mining algorithm is an efficient mining method, which makes use of support sets of frequent itemsets to calculate the support of candidate itemsets. It overcomes the disadvantage of scanning database many times like Apriori algorithm. In vertical mining, frequent itemsets can be represented as a set of bit vectors in memory, which enables for fast computation. The sizes of bit vectors for itemsets are the main space expense of the algorithm that restricts its ex...

  16. Perceptual aspects of mining equipment teleoperation

    Energy Technology Data Exchange (ETDEWEB)

    Labonte, F.; Cohen, P. [Ecole Polytechnique, Montreal, PQ (Canada). Perception and Robotics Laboratory

    1994-12-31

    Perceptual aspects of the remote control of mining equipment are considered. The selection of sensory modalities to describe the work space and the teleoperated equipment, coding of perceptual information, and the delivery of sensory data to the operator are considered. Two mining applications that are relevant to these issues are presented: the simulation of a rock breaker operation in an underground mining room, and the operation of a load haul dump (LHD) vehicle from a remote control station. 12 refs., 7 figs.

  17. Quality assurance of outsourced outlier mining

    OpenAIRE

    Zhang, Yongjin; Liu, Ruilin; Wang, Hui Wendy; Monreale, Anna; Pedreschi, Dino; Giannotti, Fosca; Guo, Wenge

    2011-01-01

    Spurred by developments such as in cloud computing, there has been considerable recent interest in the paradigm of data mining-as-service. A company (data owner) lacking in expertise or computational resources can outsource its mining needs to a third-party service provider. However, as the service providers may not be fully trusted, a dishonest service provider may return inaccurate mining results to the database owner. In this paper, we study the problem of providing quality assurance for o...

  18. Mining for solutions, extracting discord: corporate social responsibility and canadian mining companies in Latin America

    OpenAIRE

    Stevens, Julie Ann

    2009-01-01

    While the mining industry generates many benefits to society, the industry has in some cases had a detrimental impact on affected communities. This paradox, manifested in the unequal distribution of costs and benefits amongst stakeholders, has prompted widespread scrutiny of the mining industry. Critique of the industry has questioned whether mining provides an economically, environmentally and socially sustainable model of development. Mining companies are increasingly adopting Corporate Soc...

  19. The CIS Mining Industry in a Transition Period with Special Reference to Finnish Mining Prospects

    OpenAIRE

    Gonzalo Oroza

    1994-01-01

    The structural changes of the CIS mining industry have far-reaching consequences not only for the national economies of the member states but for the entire international metal market. Political instability and absence of a detailed and modern mining legislation make difficult a coordinated strategy for the development of the mining sector. Over the next years up to the year 2000, an accelerated and widespread diffusion of western modern mining technology and big investment into the CIS minin...

  20. Spatial Data Mining using Cluster Analysis

    Directory of Open Access Journals (Sweden)

    Ch.N.Santhosh Kumar

    2012-09-01

    Full Text Available Data mining, which is refers to as Knowledge Discovery in Databases(KDD, means a process of nontrivialexaction of implicit, previously useful and unknown information such as knowledge rules, descriptions,regularities, and major trends from large databases. Data mining is evolved in a multidisciplinary field ,including database technology, machine learning, artificial intelligence, neural network, informationretrieval, and so on. In principle data mining should be applicable to the different kind of data and databasesused in many different applications, including relational databases, transactional databases, datawarehouses, object- oriented databases, and special application- oriented databases such as spatialdatabases, temporal databases, multimedia databases, and time- series databases. Spatial data mining, alsocalled spatial mining, is data mining as applied to the spatial data or spatial databases. Spatial data are thedata that have spatial or location component, and they show the information, which is more complex thanclassical data. A spatial database stores spatial data represents by spatial data types and spatialrelationships and among data. Spatial data mining encompasses various tasks. These include spatialclassification, spatial association rule mining, spatial clustering, characteristic rules, discriminant rules,trend detection. This paper presents how spatial data mining is achieved using clustering.

  1. Outlier Mining Based on Principal Component Estimation

    Institute of Scientific and Technical Information of China (English)

    Hu Yang; Ting Yang

    2005-01-01

    Outlier mining is an important aspect in data mining and the outlier mining based on Cook distance is most commonly used. But we know that when the data have multicollinearity, the traditional Cook method is no longer effective. Considering the excellence of the principal component estimation, we use it to substitute the least squares estimation, and then give the Cook distance measurement based on principal component estimation, which can be used in outlier mining. At the same time, we have done some research on related theories and application problems.

  2. DAMEWARE - Data Mining & Exploration Web Application Resource

    CERN Document Server

    Brescia, Massimo; Esposito, Francesco; Fiore, Michelangelo; Garofalo, Mauro; Guglielmo, Magda; Longo, Giuseppe; Manna, Francesco; Nocella, Alfonso; Vellucci, Civita

    2016-01-01

    Astronomy is undergoing through a methodological revolution triggered by an unprecedented wealth of complex and accurate data. DAMEWARE (DAta Mining & Exploration Web Application and REsource) is a general purpose, Web-based, Virtual Observatory compliant, distributed data mining framework specialized in massive data sets exploration with machine learning methods. We present the DAMEWARE (DAta Mining & Exploration Web Application REsource) which allows the scientific community to perform data mining and exploratory experiments on massive data sets, by using a simple web browser. DAMEWARE offers several tools which can be seen as working environments where to choose data analysis functionalities such as clustering, classification, regression, feature extraction etc., together with models and algorithms.

  3. Domain Driven Data Mining - Application to Business

    Directory of Open Access Journals (Sweden)

    Adeyemi Adejuwon

    2010-07-01

    Full Text Available Conventional data mining applications face serious difficulties in solving complex real-life business decision making problems when practically deployed. This work in order to improve the operations in a collection of business domains aims to suggest solutions by reviewing and studying the latest methodological, technical, practical progresses and some cases studies of data mining via domain driven data mining (DDDM. The presented paper tries to answer this question: "what can domain driven data mining do for real-life business applications?" Moreover this work attempts to provide information and abilities to fill the existing gap between academic researches and real-world business problems.

  4. Data Analysis and Data Mining An Introduction

    CERN Document Server

    Azzalini, Adelchi

    2012-01-01

    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining.This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse rang

  5. Injury experience in coal mining, 1991

    Energy Technology Data Exchange (ETDEWEB)

    1991-12-31

    This Mine Safety and Health Administration (MSHA) informational report reviews in detail the occupational injury and illness experience of coal mining in the United States for 1991. Data reported by operators of mining establishments concerning work injuries are summarized by work location, accident classification, part of body injured, nature of injury, occupation, and anthracite or bituminous coal. Related information on employment, worktime, and operating activity also is presented. Data reported by independent contractors performing certain work at mining locations are depicted separately in this report. For ease of comparison between coal mining and the metal and nonmetal mineral mining industries, summary reference tabulations are included at the end of both the operator and the contractor sections of this report. Data used in compiling this report were reported by operators of coal mines and preparation plants on a mandatory basis as required under the Federal Mine Safety and Health Act of 1977, Public Law 91-173,as amended by Public Law 95-164. Since January 1, 1978, operators of mines or preparation plants or both which are subject to the Act have been required under 30 CFR, Part 50, to submit reports of injuries, occupational illnesses, and related data.

  6. Coal Mining-Related Respiratory Diseases

    Science.gov (United States)

    ... ray Surveillance Program (CWXSP) Frequently Asked Questions Coal Miner Health Surveillance Coal Mining-Related Respiratory Diseases CWHSP Data Query System CWHSP Public Data Digital Imaging Activity ...

  7. Intelligent Scheduling for Underground Mobile Mining Equipment.

    Directory of Open Access Journals (Sweden)

    Zhen Song

    Full Text Available Many studies have been carried out and many commercial software applications have been developed to improve the performances of surface mining operations, especially for the loader-trucks cycle of surface mining. However, there have been quite few studies aiming to improve the mining process of underground mines. In underground mines, mobile mining equipment is mostly scheduled instinctively, without theoretical support for these decisions. Furthermore, in case of unexpected events, it is hard for miners to rapidly find solutions to reschedule and to adapt the changes. This investigation first introduces the motivation, the technical background, and then the objective of the study. A decision support instrument (i.e. schedule optimizer for mobile mining equipment is proposed and described to address this issue. The method and related algorithms which are used in this instrument are presented and discussed. The proposed method was tested by using a real case of Kittilä mine located in Finland. The result suggests that the proposed method can considerably improve the working efficiency and reduce the working time of the underground mine.

  8. Continuous respirable mine dust monitor development

    Energy Technology Data Exchange (ETDEWEB)

    Cantrell, B.K.; Williams, K.L.; Stein, S.W. [and others

    1996-12-31

    In June 1992, the Mine Safety and Health Administration (MSHA) published the Report of the Coal Mine Respirable Dust Task Group, Review of the Program to Control Respirable Coal Mine Dust in the United States. As one of its recommendations, the report called for the accelerated development of two mine dust monitors: (1) a fixed-site monitor capable of providing continuous information on dust levels to the miner, mine operator, and to MSHA, if necessary, and (2) a personal sampling device capable of providing both a short-term personal exposure measurement as well as a full-shift measurement. In response to this recommendation, the U.S. Bureau of Mines initiated the development of a fixed-site machine-mounted continuous respirable dust monitor. The technology chosen for monitor development is the Rupprecht and Patashnick Co., Inc. tapered element oscillating microbalance. Laboratory and in-mine tests have indicated that, with modification, this sensor can meet the humidity and vibration requirements for underground coal mine use. The U.S. Department of Energy Pittsburgh Research Center (DOE-PRC) is continuing that effort by developing prototypes of a continuous dust monitor based on this technology. These prototypes are being evaluated in underground coal mines as they become available. This effort, conducted as a joint venture with MSHA, is nearing completion with every promise of success.

  9. Impact of Coal Mining on Environment

    Directory of Open Access Journals (Sweden)

    Sribas Goswami

    2015-03-01

    Full Text Available Coal mining adversely affects the eco-system as a whole. On the unstable earth, the unresting mankind constantly uses a variety of resources for daily lives. Coal is recognized to have been the main source of energy in India for many decades and contributes to nearly 27 % of the world’s commercial energy requirement. Coal is mainly mined using two methods- surface or ‘opencast’ and underground mining. The geological condition determines the method of mining. Coal mining is usually associated with the degradation of natural resources and the destruction of habitat. This causes invasive species to occupy the area, thus posing a threat to biodiversity. Huge quantities of waste material are produced by several mining activities in the coal mining region. If proper care is not taken for waste disposal, mining will degrade the surrounding environment. The method of waste disposal affects land, water and air and in turns the quality of life of the people in the adjacent areas. This paper throws lights on the burning issues of coal mines and its impact on the environment.

  10. Chapter 2: uranium mines and mills

    Energy Technology Data Exchange (ETDEWEB)

    O' Connell, W.J.

    1983-03-01

    This chapter will be included in a larger ASCE Committee Report. Uranium mining production is split between underground and open pit mines. Mills are sized to produce yellowcake concentrate from hundreds to thousands of tons of ore per day. Miner's health and safety, and environmental protection are key concerns in design. Standards are set by the US Mine Safety and Health Administration, the EPA, NRC, DOT, the states, and national standards organizations. International guidance and standards are extensive and based on mining experience in many nations.

  11. Oil sands mining water use and management

    Energy Technology Data Exchange (ETDEWEB)

    Bender, M.; Long, D.; Fitch, M. [Golder Associates Ltd., Calgary, AB (Canada)

    2010-07-01

    There are currently 4 bitumen mining operations operating along the Athabasca River in northern Alberta. This paper presented details of the water licences, historical water use, present water use, and future plans for water management in relation to oil sands mining operations. The study was based on work currently conducted for the Oil Sands Developers Group (OSDG) and Canadian Association of Petroleum Producers (CAPP), as well as on mine site water balance analyses for proposed mines in the region. Typical mine site water balances were discussed, and water use rates for the mining operations were reviewed. The new Athabasca River water management framework may require that mines provide additional water storage or delayed reclamation of mine areas in order to offset water losses during winter low-flow periods. New regulations may also reduce the requirement for make-up water. The study also noted that release criteria are still being developed for on-site water within closed-loop mine operations. The oil sands industry will need to balance various factors related to water use in the future. 5 refs., 3 figs.

  12. Educational Data Mining Model Using Rattle

    Directory of Open Access Journals (Sweden)

    Sadiq Hussain

    2014-07-01

    Full Text Available Data Mining is the extraction of knowledge from the large databases. Data Mining had affected all the fields from combating terror attacks to the human genome databases. For different data analysis, R programming has a key role to play. Rattle, an effective GUI for R Programming is used extensively for generating reports based on several current trends models like random forest, support vector machine etc. It is otherwise hard to compare which model to choose for the data that needs to be mined. This paper proposes a method using Rattle for selection of Educational Data Mining Model.

  13. Evaluating Water Management Practice for Sustainable Mining

    Directory of Open Access Journals (Sweden)

    Xiangfeng Zhang

    2014-02-01

    Full Text Available To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has provided a solution to aid the identification of more sustainable mine water management practices. The solution includes a conceptual framework for forming a decision hierarchy; an evaluation method for assessing mine water management practices; and a sensitivity analysis in view of different preferences of stakeholders or managers. The solution is applied to a case study of the evaluation of sustainable water management practices in 16 mines located in the Bowen Basin in Queensland, Australia. The evaluation results illustrate the usefulness of the proposed solution. A sensitivity analysis is performed according to preference weights of stakeholders or managers. Some measures are provided for assessing sensitivity of strategy ranking outcomes if the weight of an indicator changes. Finally, some advice is given to improve the mine water management in some mines.

  14. 30 CFR 780.27 - Reclamation plan: Surface mining near underground mining.

    Science.gov (United States)

    2010-07-01

    ..., the application shall describe the measures to be used to comply with 30 CFR 816.79. ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Reclamation plan: Surface mining near underground mining. 780.27 Section 780.27 Mineral Resources OFFICE OF SURFACE MINING RECLAMATION...

  15. Mining Pribram in science and technology. Proceedings of Session R - Mechanization of mine operations

    International Nuclear Information System (INIS)

    The proceedings contain 30 papers of which two deal with uranium mine problems, viz.: ''Current and prospective orientation of mechanized driving of mines and underground infrastructures'' and ''The operation of rail-less mine mechanization in the Hamr area''. (J.B.)

  16. 30 CFR 49.3 - Alternative mine rescue capability for small and remote mines.

    Science.gov (United States)

    2010-07-01

    ... mine; (2) Comments submitted by, or on behalf of, any affected miner; and (3) Whether the alternative... condition or factor materially affecting information submitted in the application for alternative mine... Nonmetal Mine Safety and Health, as appropriate, 1100 Wilson Blvd., Room 2424 (Coal) or Room 2436...

  17. Characteristics of mining uranium-bearing coal deposit in Mine No.509

    International Nuclear Information System (INIS)

    The author introduces the geological characteristics of uranium-bearing coal deposit in Mine No. 509 and safety protection in mining process. Moreover, it goes into detail on appropriate measures of developing, mining and safety protection, which ensure safety in high-efficient recovery of useful minerals

  18. Mining the Internet: a coal mining perspective to the information superhighway

    Energy Technology Data Exchange (ETDEWEB)

    McKay, I.B. [TransAlta Utilities Corporation, Duffield, AB (Canada). Sundance Generating Plant

    1996-12-31

    Methods are described to show how mining companies can use the international computer networks, Internet and World Wide Web, to access information on research, new products, services, equipment, and techniques. The information currently available, how mining companies can communicate and market their mining services, and the changes Internet will bring to the way business is conducted are discussed.

  19. Unsuccessful mining adventure. Dutch coal mining in Spitsbergen; Mislukt mijnavontuur. Nederlandse steenkoolwinning op Spitsbergen

    Energy Technology Data Exchange (ETDEWEB)

    Vrouwe, A.

    2008-12-19

    The Dutch mining company Nespico started mining coal in Spitsbergen in 1920. The arctic adventure failed, however, and in 1932 the company sold the mine to the Russians. [mk]. [Dutch] Het Nederlandse mijnbedrijf Nespico begon in 1920 met de winning van steenkool op Spitsbergen. Het arctische avontuur mislukte echter en in 1932 verkocht het bedrijf de mijn aan de Russen.

  20. Study of "3-Step Mining" Subsidence Control in Coal Mining Under Buildings

    Institute of Scientific and Technical Information of China (English)

    GUO Guang-li; ZHA Jian-feng; WU Bin; JIA Xin-guo

    2007-01-01

    Mining subsidence damage is the main factor of restricting coal mining under buildings. To control or ease effectively the degree of mining subsidence and deformation is essential to resolve this problem. Through analyzing both advantages and disadvantages of some technologies such as mining with stowing, partial extraction and grouting in separated beds of overburden, we used the principle of load replacement and propose a "3-step mining" method, a new pattern of controlling mining subsidence, which consists of: strip mining, i.e. grouting to fill and consolidate the caving zone and retained strip pillar mining. The mechanism of controlling mining subsidence by using the "3-step mining" pattern is analyzed. The effect of the control is numerically simulated. The preliminary analysis shows that the "3-step mining" can effectively control ground subsidence and deformation. By using this method, the ground subsidence factor can be controlled to a value of about 0.25. Coal recovery can reach 80%-90%. Coal mining without removing surface buildings can be realized and the economic loss resulting from ground subsidence can be greatly reduced.

  1. 75 FR 20918 - High-Voltage Continuous Mining Machine Standard for Underground Coal Mines

    Science.gov (United States)

    2010-04-22

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF LABOR Mine Safety and Health Administration 30 CFR Parts 18 and 75 RIN 1219-AB34 High-Voltage Continuous Mining Machine Standard for Underground Coal Mines Correction In rule document 2010-7309 beginning on page...

  2. NV - Assessment of wildlife hazards associated with mine pit lakes

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Several open pit mines in Nevada lower groundwater to mine ore below the water table. After mining, the pits partially fill with groundwater to form pit lakes....

  3. data mining in distributed database

    International Nuclear Information System (INIS)

    as we march into the age of digital information, the collection and the storage of large quantities of data is increased, and the problem of data overload looms ominously ahead. it is estimated today that the volume of data stored by a company doubles every year but the amount of meaningful information is decreases rapidly. the ability to analyze and understand massive datasets lags far behind the ability to gather and store the data. the unbridled growth of data will inevitably lead to a situation in which it is increasingly difficult to access the desired information; it will always be like looking for a needle in a haystack, and where only the amount of hay will be growing all the time . so, a new generation of computational techniques and tools is required to analyze and understand the rapidly growing volumes of data . and, because the information technology (it) has become a strategic weapon in the modern life, it is needed to use a new decision support tools to be an international powerful competitor.data mining is one of these tools and its methods make it possible to extract decisive knowledge needed by an enterprise and it means that it concerned with inferring models from data , including statistical pattern recognition, applied statistics, machine learning , and neural networks. data mining is a tool for increasing productivity of people trying to build predictive models. data mining techniques have been applied successfully to several real world problem domains; but the application in the nuclear reactors field has only little attention . one of the main reasons, is the difficulty in obtaining the data sets

  4. Using GIS to evaluate mine subsidence potential

    International Nuclear Information System (INIS)

    Gannett Fleming, Inc. has performed a study to identify areas of the Borough of Munhall, Pennsylvanian which have the potential to be affected by deep mine subsidence. Records of all available mine subsidence reports, mine subsidence insurance claims and associated investigations, available mine mapping, published geologic information, and subsurface data including 123 exploratory boring logs were reviewed and evaluated. Aerial photographs obtained in February 1993 were digitized and used to develop photograph like base mapping. Associated thematic maps were developed which included isopleths of coal, overburden and roof rock thickness as well as sandstone to shale overburden ratio. The GIS mapping made it possible to spatially relate a wide variety of different types and presentations of data. Three parameters were found to be most closely related to mine subsidence potential. For areas of the Borough underlain by the previously mined Pittsburgh coal seam, the thickness of overburden, roof rock type and mining method were found to be the most significant factors. Mining method was by far the most significant. It was found that areas of the mine that were totally extracted showed very low susceptibility to subsidence. Most of the documented cases of mine subsidence in the past 20 years were found to have occurred in areas of partial extraction. Interestingly, the few subsidence events that did occur in totally extracted areas occurred near main headings where chain pillars were typically left in place. The conclusion of the study is that where coal was totally extracted subsidence has probably already occurred. In partially extracted areas, a potential for mine subsidence exists today

  5. Mining in Uruguay: Potential and challenges

    International Nuclear Information System (INIS)

    We discuss the geological, economic and environmental feasibility of mining in Uruguay. Whereas the present contribution of mining to GDP of Uruguay is only 0.33%, this contribution would grow in 2015 to between 2 and 5.4% (depending on the price of iron ore) as a result of the implementation of new projects. The mining operations and short term projects include mainly limestone for cement and lime, gold, agate, amethyst and iron. Another set of resources, such as black sands, dolomite, manganese and talc, still require geological and / or economic feasibility studies. To develop sustainable mining, it is indispensable human resource training, especially more geologists, mining technicians and skilled operators. Several reasons make it imperative to develop our mineral resources: diversification of the production, development of neglected areas, decentralization, creation of industrial chains and employment generation. On this last point, mining creates ca. 20 times more jobs than extensive livestock per unit area. It is also shown that, in the example of metallic minerals and cement, earnings of mining companies are ca. 1000 times larger than those of extensive livestock per hectare. The current legal framework is considered sufficient, and is in the enforcement of these regulations where emphasis should be placed. It is necessary to create a state agency to assume the functions of a Geological Survey, conducting basic and applied geological research. This body should be independent of that responsible for the management of mineral resources, as in the example of Brazil (CPRM and DNPM). From the environmental point of view we present examples of successful recovery of land previously dedicated to mining in neighboring countries. Caring for the environment is in fact implicit in all mining projects now, given the current legislation. We suggest the creation of a guarantee fund for the recovery of mining areas and the use of funds raised from mining royalties for

  6. Data, text and web mining for business intelligence: a survey

    OpenAIRE

    Abdul-Aziz Rashid Al-Azmi

    2013-01-01

    The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet. Mining tools are automated software tools used to achieve business intelligence by finding hidden relations, and predicting future eve...

  7. Radon Emission from Coal Mines of Kuzbass Region

    Science.gov (United States)

    Portola, V. A.; Torosyan, E. S.; Antufeyev, V. K.

    2016-04-01

    The article represents the results of a research in radionuclides concentration in coal and rocks of Kuzbass mines as well as radon concentration in operative mines and mined-out spaces. It is proved that radon concentration in mines is considerably higher than in the atmosphere and it rises drastically in the mined-out spaces. It is found out that radon is carried out from mines by ventilation flows and from open pits, generating anomalous concentrations over self-ignition areas.

  8. Mining and agriculture for development: exploring the nexus

    OpenAIRE

    Urama, Kevin Chika

    2013-01-01

    Can agriculture and mining work together to improve food security? How can policy, investment and research provide for benefits? Agriculture and mining rely on similar inputs, outputs and externalities. In both Africa and Australia the relationship between the two industries can be symbioitic or competitive, depending on the situation. Mining makes profits from its mined products. Agriculture also needs mined products such as potash for soil improvement. Mining requires upgraded or new infras...

  9. The Necessity of Public Relations for Sustainable Mining Activities

    Science.gov (United States)

    Lee, Hyunbock; Ji, Sangwoo

    2015-04-01

    This paper reports research about the necessity of image making for sustainable mine developments in the Republic of Korea. One of the big risks in mining activities is mining area residents opposing mine developments and operations. Analysis of the media reports on disputes between mining companies and residents can determine causes of opposing mine developments, dispute process, and influences of disputes on processes of mining projects. To do this, civil complaints from 2009 to 2012 and 24 media reports since 2000 on opposing mining activities are analyzed. And, to analyze difficulties of mining companies, the survey is conducted to target to mining companies. 57 representatives of mining companies are participated in the survey. The result of analysis cited that the major reasons of anti-mining activities are environmental degradation and reduced agricultural productivity. And specifically because of water pollution (50%), crop damages (33%), and mining dust pollution (21%), communities of mining area are against mine developments and operations. However, 25% of residents have experience of the damage caused by mining activities and the remaining 75% of residents opposing mining activities simply have anxiety about mining pollution. In the past, construction-oriented, environment-unfriendly mining projects had lasted. And while mine reclamation had been postponed in abandoned mines, mining area residents had suffered from mining pollution. So, mining area residents are highly influenced by the prejudice that mining activities are harmful to mining area communities. Current mining projects in South Korea, unlike the past mining activity, focus on minimizing environmental damage and contributing to mining area communities financially. But, in many case of disputes between mining companies and mining area residents, the both cannot reach an agreements because of the negative prejudice. Moreover, some communities categorically refuse any mining activity. On the

  10. Social media mining with R

    CERN Document Server

    Heimann, Richard

    2014-01-01

    A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

  11. Environmentalism and natural aggregate mining

    Science.gov (United States)

    Drew, L.J.; Langer, W.H.; Sachs, J.S.

    2002-01-01

    Sustaining a developed economy and expanding a developing one require the use of large volumes of natural aggregate. Almost all human activity (commercial, recreational, or leisure) is transacted in or on facilities constructed from natural aggregate. In our urban and suburban worlds, we are almost totally dependent on supplies of water collected behind dams and transported through aqueducts made from concrete. Natural aggregate is essential to the facilities that produce energy-hydroelectric dams and coal-fired powerplants. Ironically, the utility created for mankind by the use of natural aggregate is rarely compared favorably with the environmental impacts of mining it. Instead, the empty quarries and pits are seen as large negative environmental consequences. At the root of this disassociation is the philosophy of environmentalism, which flavors our perceptions of the excavation, processing, and distribution of natural aggregate. The two end-member ideas in this philosophy are ecocentrism and anthropocentrism. Ecocentrism takes the position that the natural world is a organism whose arteries are the rivers-their flow must not be altered. The soil is another vital organ and must not be covered with concrete and asphalt. The motto of the ecocentrist is "man must live more lightly on the land." The anthropocentrist wants clean water and air and an uncluttered landscape for human use. Mining is allowed and even encouraged, but dust and noise from quarry and pit operations must be minimized. The large volume of truck traffic is viewed as a real menace to human life and should be regulated and isolated. The environmental problems that the producers of natural aggregate (crushed stone and sand and gravel) face today are mostly difficult social and political concerns associated with the large holes dug in the ground and the large volume of heavy truck traffic associated with quarry and pit operations. These concerns have increased in recent years as society's demand for

  12. Data mining for ontology development.

    Energy Technology Data Exchange (ETDEWEB)

    Davidson, George S.; Strasburg, Jana (Pacific Northwest National Laboratory, Richland, WA); Stampf, David (Brookhaven National Laboratory, Upton, NY); Neymotin,Lev (Brookhaven National Laboratory, Upton, NY); Czajkowski, Carl (Brookhaven National Laboratory, Upton, NY); Shine, Eugene (Savannah River National Laboratory, Aiken, SC); Bollinger, James (Savannah River National Laboratory, Aiken, SC); Ghosh, Vinita (Brookhaven National Laboratory, Upton, NY); Sorokine, Alexandre (Oak Ridge National Laboratory, Oak Ridge, TN); Ferrell, Regina (Oak Ridge National Laboratory, Oak Ridge, TN); Ward, Richard (Oak Ridge National Laboratory, Oak Ridge, TN); Schoenwald, David Alan

    2010-06-01

    A multi-laboratory ontology construction effort during the summer and fall of 2009 prototyped an ontology for counterfeit semiconductor manufacturing. This effort included an ontology development team and an ontology validation methods team. Here the third team of the Ontology Project, the Data Analysis (DA) team reports on their approaches, the tools they used, and results for mining literature for terminology pertinent to counterfeit semiconductor manufacturing. A discussion of the value of ontology-based analysis is presented, with insights drawn from other ontology-based methods regularly used in the analysis of genomic experiments. Finally, suggestions for future work are offered.

  13. Investigating MOOCs Through Blog Mining

    Directory of Open Access Journals (Sweden)

    Yong Chen

    2014-04-01

    Full Text Available MOOCs (massive open online course is a disruptive innovation and a current buzzword in higher education. However, the discussion of MOOCs is disparate, fragmented, and distributed among different outlets. Systematic, extensively published research on MOOCs is unavailable. This paper adopts a novel method called blog mining to analyze MOOCs. The findings indicate, while MOOCs have benefitted learners, providers, and faculty who develop and teach MOOCs, challenges still exist, such as questionable course quality, high dropout rate, unavailable course credits, ineffective assessments, complex copyright, and limited hardware. Future research should explore the position of MOOCs and how it can be sustained.

  14. 21 Recipes for Mining Twitter

    CERN Document Server

    Russell, Matthew

    2011-01-01

    Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to: Use OAuth to access Twitter dataCreate and analyze graphs of retweet relationshipsUse the streaming API to harvest tweets in realtimeHarvest and analyze friends and followers

  15. EDUCATIONAL DATA MINING USING JMP

    Directory of Open Access Journals (Sweden)

    Sadiq Hussain

    2014-11-01

    Full Text Available Educational Data Mining is a growing trend in ca se of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degr ee C ourse students of different colleges affiliated to Dibrugarh University. The study is conducted with major subject wise, gender wise and category/caste wise. The experimental results may be visualized with Scatterplot3D, Bubble Plot, Fit Y by X, Run Chart, Control Chart etc. of the SAS JMP Software

  16. Image Mining Techniques and Applications.

    OpenAIRE

    Deepika Kishor Nagthane

    2013-01-01

    Digitization in every sector leads to the growth of digital data in a tremendous amount. Digital data are not only available in the form of text but it is also available in the form of images, audio and video. Decision making people in every field like business, public sector, hospital, etc. are trying to get useful and implicit information from the already existing digital data bases. Image mining is the concept used to extract implicit and useful data from images stored in the large data ba...

  17. Back-and-forth mining for hard and thick coal seams-research about the mining technology for fully mechanized caving working face of Datong Mine

    Institute of Scientific and Technical Information of China (English)

    JIN Zhi-xin; YU Hong; YU Bin; SONG Hua-ling

    2005-01-01

    The article introduced the key technology, mining process, and back-and-forth mining method for the caving working face of hard-thick coal seams in Datcng mine, and researched this innovations process, optimized the systemic design and working face outplay, tried to perfect the caving mining technology of hard-thick coal seams further.

  18. Proceedings of the 10th North Australian mine rehabilitation workshop

    International Nuclear Information System (INIS)

    Papers presented at the workshop cover environmental planning and assessment, rehabilitation proposals for the Rum Jungle uranium mine, slope stabilization, revegetation and rehabilitation of the Ranger uranium mine

  19. A direct mining approach to efficient constrained graph pattern discovery

    DEFF Research Database (Denmark)

    Zhu, Feida; Zhang, Zequn; Qu, Qiang

    2013-01-01

    Despite the wealth of research on frequent graph pattern mining, how to efficiently mine the complete set of those with constraints still poses a huge challenge to the existing algorithms mainly due to the inherent bottleneck in the mining paradigm. In essence, mining requests with explicitly......, we develop SkinnyMine, an efficient algorithm to mine all the l-long δ-skinny patterns guaranteeing both the completeness of our mining result as well as the unique generation of each target pattern. We also present a general direct mining framework together with two properties of reducibility...

  20. Data Preparation for Web Mining – A survey

    Directory of Open Access Journals (Sweden)

    Amog Rajenderan

    2012-12-01

    Full Text Available An accepted trend is to categorize web mining intothree main areas: web content mining, webstructure mining and web usage mining. Webcontent mining involves extractingdetails/information from the contents of webpagesand performing things like knowledge synthesis.Web structure mining involves the usage of graphtheory to understand website structure/hierarchy.Web usage mining involves the mining of usefulinformation from things like server logs, tounderstand what the user does while on the internet.This paper is intended to be a survey paper of recentpapers that deal with cleaning and preparing thedata that goes into the three types of miningmentioned earlier.

  1. The prevention of mine accident and utilization of abandoned mine openings.

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Won-Jai; Lee, Sang-Kwon; Chung, So-Keul [Korea Institute of Geology Mining and Materials, Taejon (KR)] (and others)

    1999-12-01

    This report consists of 2 subjects. (1) Research on the prevention of mine accident (V): This research has been conducted to investigate 11 major operating coal mines in respect to mine safety. The safety inspection on 9 coal mines has already been done until 1998. In this year, two coal mines, Sangduck and Maro, were inspected and desirable counter measures were recommended. (2) Alternative utilization of underground spaces with abandoned mine openings: The final goal of this study is to establish the model of utilization of abandoned mine openings, to design the utilization model, and to develop the utilization techniques. For these research targets, literature surveys, determination of major factors, and field surveys for candidate mines were performed during first research year. Now in this second year, the candidate mines were deeply surveyed, and finally conceptual design was made for one of these abandoned mines. The Gahak mine which is located in Kwangmyung city, Kyunggido, can be utilized as a bio-park and a cave land. (author). 33 refs., 104 tabs., 21 figs.

  2. Recent Developments in Microbiological Approaches for Securing Mine Wastes and for Recovering Metals from Mine Waters

    Directory of Open Access Journals (Sweden)

    D. Barrie Johnson

    2014-04-01

    Full Text Available Mining of metals and coals generates solid and liquid wastes that are potentially hazardous to the environment. Traditional methods to reduce the production of pollutants from mining and to treat impacted water courses are mostly physico-chemical in nature, though passive remediation of mine waters utilizes reactions that are catalysed by microorganisms. This paper reviews recent advances in biotechnologies that have been proposed both to secure reactive mine tailings and to remediate mine waters. Empirical management of tailings ponds to promote the growth of micro-algae that sustain populations of bacteria that essentially reverse the processes involved in the formation of acid mine drainage has been proposed. Elsewhere, targeted biomineralization has been demonstrated to produce solid products that allow metals present in mine waters to be recovered and recycled, rather than to be disposed of in landfill.

  3. 12th International Symposium Continuous Surface Mining

    CERN Document Server

    2015-01-01

    This edited volume contains research results presented at the 12th International Symposium Continuous Surface Mining, ISCSM Aachen 2014. The target audience primarily comprises researchers in the lignite mining industry and practitioners in this field but the book may also be beneficial for graduate students.

  4. Mining their own Business in the Margins

    DEFF Research Database (Denmark)

    Jensen, Lars

    in the question of mining in ‘remote areas’ (‘’ because what is remote to whom?) in Australia and outside. At the time of writing this, I am thinking about taking my departure in Alexis Wright’s Carpentaria as representing one of these marginalised ways of telling alternative versions of mining and its impact...

  5. Specific industrial medicine in lignite mining

    Energy Technology Data Exchange (ETDEWEB)

    Zerlett, G.; Toussaint, R.; Hilfert, R.; Koehne, G.

    1986-11-01

    Lignite is almost exclusively mined open-cast in West Germany. Mining is carried out at present in deep open-cast mines (with depths up to 400 m) using modern mining conveyer techniques with large-scale equipment (rotary bucket excavators and thickeners) conveyer belt and railway links as well as earth-moving equipment (accessory equipment). Specific occupational diseases are not known in lignite mining. Occupational diseases in the sense of degenerative processes of the lumbar spine and avulsion fractures of spinous processes of the lower cervical spine in drivers of earth-moving equipment as a result of whole-body vibration stress have been observed. In the context of occupational disease and industrial accident prevention, close collaboration and a division of labor between industrial physicians and safety engineers of ergonomics specialists have proved to be very efficient. Industrial medical preventive examinations based on statutory regulations and the lignite mining ordinance have a long tradition and are given a great deal of space. First aid at work is organized in a largely decentralized manner owing to the extensiveness of the mining area. The industrial medical care of the employees takes place on site in the various sections (open-cast mining, workshops, brickett factories, processing units etc.). The entire medical technical diagnostics is carried out centrally in an industrial medical center.

  6. SURFACE MINE PLANNING OPTIMIZATION BY GOAL PROGRAMMING

    Institute of Scientific and Technical Information of China (English)

    陈意平; 张幼蒂

    1991-01-01

    This paper introduced an approach to surface mine planning optimization-Goal Programming.The multiobjective[0-1] model has been built and the software has been developed.The method has been applied to a huge surface coal mine,the result of which shows that it is effective and feasible.

  7. Taxation on mining and hydrocarbon investments

    Directory of Open Access Journals (Sweden)

    Beatriz De La Vega Rengifo

    2014-07-01

    Full Text Available This article comments the most important aspects of the tax treatment applicable to investments of mining and oil and gas industry. The document highlights the relevant tax topics of the general tax legislation(Income Tax Law and the special legislation of both industries (General Mining Law and Hydrocarbons Organic Law.

  8. Digital Solution to Mining Image Monitor System

    Institute of Scientific and Technical Information of China (English)

    刘越男; 孙继平; 苏辉; 那景芳

    2001-01-01

    The thesis describes an advanced digital solution to mining digital image monitor system, which makes up the shortage of the traditional mining analog image monitor. It illustrates the system components and how to choose the encoder bandwidth of the system. The problem of image multicast and its solution in LAN are also discussed.

  9. Uranium Surface Mine reclamation in South Texas

    International Nuclear Information System (INIS)

    Reclamation of Surface Mining for Uranium in South Texas has changed since the early 1960's. The paper reviews current reclamation procedures including the use of vegetation, grade stabilization structures, rainfall runoff management, use of computers in planning, evaluation and design, and considerations for long term management of reclaimed mine sites

  10. Mining the ocean floor: Managing geological uncertainty

    NARCIS (Netherlands)

    Wambeke, T.; Alvarez Grima, M.; Fenton, G.A.; Benndorf, J.; Vervoort, A.

    2013-01-01

    As land resources decrease, commodity prices increase, and technology evolves, deep sea mining is becoming a viable alternative to meet the increasing demand for minerals. Successful deep sea mining operations are built on sound identification of the resource, proper selection of equipment, a though

  11. Accuracy of forecast of mine tremors location

    Institute of Scientific and Technical Information of China (English)

    DRZEWIECKI Jan

    2009-01-01

    The Upper Silesian Coal Basin is one of the most active mining areas in the world in respect of seismicity. Underground mining in this area takes place in a special environment with a high degree of risk of unpredictable event occurrence. Especially dangerous are phenomena that occur during the extraction of deposits at great depths in the environment of compact rocks. Deep underground mining violates the balance of these rocks and induces dynamic phenomena at the longwall life (in terms of distance) referred to as mine tremors. The sources of these tremors are located in layers characterised by high strength, especially in thick sandstone strata occurring in the roof of the mined seam. In the paper a discussion is presented about the influence of mining inten-sity (longwall face speed) on the location of mine tremor sources, both in the direction of longwall life (in terms of distance) and towards the surface. The presented material has been prepared basing on the results of tests and measurements carried out at the Central Mining Institute.

  12. Australia modifies resource rent, uranium mining policies

    Energy Technology Data Exchange (ETDEWEB)

    1984-04-01

    Current Australian government business and economic policies as they affect the mining industry are discussed. The distribution of constitutional and taxing powers in Australia between state and commonwealth governments and possible inappropriate taxes and other policies can have an adverse effect on resource development. The effects of these policies on both coal and uranium mining are discussed.

  13. Radon measurements in mines and dwellings

    International Nuclear Information System (INIS)

    Radon measurements using a time integrating passive radon dosemeter (MAKROFOL track etch detector) have been performed in Brazilian and German mines and dwellings. The present state of the measurement technique is summarized. The results are presented together with exposure calculations and dose estimations for occupational exposure in open pit and underground mines and for the general public in houses. (orig./HP)

  14. The Gold Mining Camp: A Simulation Game.

    Science.gov (United States)

    Stoltman, Joseph P.; Keach, Everett T., Jr.

    This economics simulation game complements the third grade Gold Mining Unit developed by Project Social Studies at the University of Minnesota. The simulation is designed for three purposes: 1) to reinforce the prior learning which occurs in the gold mining camp unit; 2) to involve eight-year-olds in the process of solving simulated economic…

  15. Opposition to gold mining at Bergama, Turkey

    NARCIS (Netherlands)

    M. Arsel (Murat)

    2012-01-01

    textabstractIntroduction For much of the 1990s, the tourist town of Bergama was the epicentre of Turkey's most effective and visible environmental social movement against a multinational mining corporation aiming to establish the first modern gold mine in the country. Bringing relatively prosperous

  16. Data mining and knowledge discovery handbook

    CERN Document Server

    Maimon, Oded

    2010-01-01

    This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

  17. Web Mining: Machine Learning for Web Applications.

    Science.gov (United States)

    Chen, Hsinchun; Chau, Michael

    2004-01-01

    Presents an overview of machine learning research and reviews methods used for evaluating machine learning systems. Ways that machine-learning algorithms were used in traditional information retrieval systems in the "pre-Web" era are described, and the field of Web mining and how machine learning has been used in different Web mining applications…

  18. Efficient Mining of Intertransaction Association Rules

    NARCIS (Netherlands)

    Tung, A.K.H.; Lu, H.J.; Han, J.W.; Feng, L.

    2003-01-01

    Most of the previous studies on mining association rules are on mining intratransaction associations, i.e., the associations among items within the same transaction where the notion of the transaction could be the items bought by the same customer, the events happened on the same day, etc. In this s

  19. 36 CFR 6.7 - Mining wastes.

    Science.gov (United States)

    2010-07-01

    ... DISPOSAL SITES IN UNITS OF THE NATIONAL PARK SYSTEM § 6.7 Mining wastes. (a) Solid waste from mining... operate a solid waste disposal site within the boundaries of a unit only after complying with § 6.5 and... establish or operate a new solid waste disposal site within a unit. (e) The temporary storage,...

  20. Community Development in the Lao Mining Sector

    OpenAIRE

    World Bank, (WB)

    2011-01-01

    The purpose of this Briefing Note is to provide background information and analysis on the new legal requirement and relevant information and experience pertaining to community development funds in the mining sector internationally and in Lao PDR. This Briefing Note is intended to inform discussion at the Conference on Mining and Community Development in Lao PDR: Community Development Fun...

  1. Occupant safety in vehicle mine protection

    NARCIS (Netherlands)

    Verhoeven, T.A.; Leerdam, P.J.; Horst, M.J. van der

    2002-01-01

    Personnel safety is crucial in operations where mines pose a threat, in peacekeeping and peace-enforcing operations occupant safety has a high priority. In the past five years, the TNO Defence Research Organisation participated in projects for the improvement of the mine protection of several milita

  2. A perspective on databases and data mining

    NARCIS (Netherlands)

    Holsheimer, M.; Kersten, M.L.; Mannila, H.; Toivonen, H.

    1995-01-01

    We discuss the use of database methods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data structures. We study how well one can manage by using general purpose database management systems. We illustrate our ideas by

  3. GPU-Accelerated Text Mining

    Energy Technology Data Exchange (ETDEWEB)

    Cui, Xiaohui [ORNL; Mueller, Frank [North Carolina State University; Zhang, Yongpeng [ORNL; Potok, Thomas E [ORNL

    2009-01-01

    Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to significantly increase the processor frequency, developers are instead resorting to multi-core chips duplicating conventional computing capabilities on a single die. Yet, accelerators offer more radical designs with a much higher level of parallelism and novel programming environments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index the Internet, but its applications range beyond this scope and extend to providing document similarity metrics, the subject of this work. We have developed and optimized text search algorithms for GPUs to exploit their potential for massive data processing. We discuss the algorithmic challenges of parallelization for text search problems on GPUs and demonstrate the potential of these devices in experiments by reporting significant speedups. Our study may be one of the first to assess more complex text search problems for suitability for GPU devices, and it may also be one of the first to exploit and report on atomic instruction usage that have recently become available in NVIDIA devices.

  4. GPU-Accelerated Text Mining

    International Nuclear Information System (INIS)

    Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to significantly increase the processor frequency, developers are instead resorting to multi-core chips duplicating conventional computing capabilities on a single die. Yet, accelerators offer more radical designs with a much higher level of parallelism and novel programming environments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index the Internet, but its applications range beyond this scope and extend to providing document similarity metrics, the subject of this work. We have developed and optimized text search algorithms for GPUs to exploit their potential for massive data processing. We discuss the algorithmic challenges of parallelization for text search problems on GPUs and demonstrate the potential of these devices in experiments by reporting significant speedups. Our study may be one of the first to assess more complex text search problems for suitability for GPU devices, and it may also be one of the first to exploit and report on atomic instruction usage that have recently become available in NVIDIA devices

  5. Statistically significant relational data mining :

    Energy Technology Data Exchange (ETDEWEB)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  6. Data Mining of Macromolecular Structures.

    Science.gov (United States)

    van Beusekom, Bart; Perrakis, Anastassis; Joosten, Robbie P

    2016-01-01

    The use of macromolecular structures is widespread for a variety of applications, from teaching protein structure principles all the way to ligand optimization in drug development. Applying data mining techniques on these experimentally determined structures requires a highly uniform, standardized structural data source. The Protein Data Bank (PDB) has evolved over the years toward becoming the standard resource for macromolecular structures. However, the process selecting the data most suitable for specific applications is still very much based on personal preferences and understanding of the experimental techniques used to obtain these models. In this chapter, we will first explain the challenges with data standardization, annotation, and uniformity in the PDB entries determined by X-ray crystallography. We then discuss the specific effect that crystallographic data quality and model optimization methods have on structural models and how validation tools can be used to make informed choices. We also discuss specific advantages of using the PDB_REDO databank as a resource for structural data. Finally, we will provide guidelines on how to select the most suitable protein structure models for detailed analysis and how to select a set of structure models suitable for data mining.

  7. Intelligence Ingrained Data Mining Engine Architecture

    Directory of Open Access Journals (Sweden)

    S.P.Deshpande

    2011-01-01

    Full Text Available Information plays vital role in every field. To take complete advantage of data; it requires a tool for automatic summarization of data, extraction of the essence of information stored, and the discovery of patterns in raw data. „Data mining‟ is a tool to accomplish the above mentioned needs. Several attempts have been made to design and develop the generic data mining system but no system found completely generic. The domain experts play important role in the different stages of data mining. The decisions at different stages are influenced by the factors like domain and data details, aim of the data mining, and the context parameters. This paper present the architecture of a Data mining engine that work for specific problem domain. The engine is developed with some prerequisite domain knowledge therefore a non expert can use the system effectively for data mining.

  8. Frequent Pattern Mining Algorithms for Data Clustering

    DEFF Research Database (Denmark)

    Zimek, Arthur; Assent, Ira; Vreeken, Jilles

    2014-01-01

    that frequent pattern mining was at the cradle of subspace clustering—yet, it quickly developed into an independent research field. In this chapter, we discuss how frequent pattern mining algorithms have been extended and generalized towards the discovery of local clusters in high-dimensional data......Discovering clusters in subspaces, or subspace clustering and related clustering paradigms, is a research field where we find many frequent pattern mining related influences. In fact, as the first algorithms for subspace clustering were based on frequent pattern mining algorithms, it is fair to say....... In particular, we discuss several example algorithms for subspace clustering or projected clustering as well as point out recent research questions and open topics in this area relevant to researchers in either clustering or pattern mining...

  9. Impacts of Canada's uranium mining industry

    International Nuclear Information System (INIS)

    This study examines economic and environmental impacts of uranium mining in Canada and compares these impacts with those of other extractive and energy industries. The uranium industry generates taxes and royalties, income, employment, foreign exchange earnings, security of energy supply, and technological spinoffs. The indirect impacts of the industry as measured by employment and income multipliers are lower than those for other types of mining and comparable to oil and gas because of the high proportion of costs withdrawn from the economy in the form of taxes and operator margin. Social costs are primarily occupational hazards. Uranium mining probably has a lower non-health environmental impact than other mining industries due to much smaller throughputs and transportation requirements. Residents of the area surrounding the mine bear a disproportionate share of the social costs, while non-residents receive most of the benefits

  10. Controlling False Positives in Association Rule Mining

    CERN Document Server

    Liu, Guimei; Wong, Limsoon

    2011-01-01

    Association rule mining is an important problem in the data mining area. It enumerates and tests a large number of rules on a dataset and outputs rules that satisfy user-specified constraints. Due to the large number of rules being tested, rules that do not represent real systematic effect in the data can satisfy the given constraints purely by random chance. Hence association rule mining often suffers from a high risk of false positive errors. There is a lack of comprehensive study on controlling false positives in association rule mining. In this paper, we adopt three multiple testing correction approaches---the direct adjustment approach, the permutation-based approach and the holdout approach---to control false positives in association rule mining, and conduct extensive experiments to study their performance. Our results show that (1) Numerous spurious rules are generated if no correction is made. (2) The three approaches can control false positives effectively. Among the three approaches, the permutation...

  11. Mining Social Data to Extract Intellectual Knowledge

    Directory of Open Access Journals (Sweden)

    Muhammad Mahbubur Rahman

    2012-09-01

    Full Text Available Social data mining is an interesting phenomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect different attributes such as about me, comments, wall post and age from facebook as raw data and use advanced data mining approaches to excavate intellectual knowledge. We also analyze our mined knowledge with comparison for possible usages like as human behavior prediction, pattern recognition, job responsibility distribution, decision making and product promoting.

  12. Preprocessing and Morphological Analysis in Text Mining

    Directory of Open Access Journals (Sweden)

    Krishna Kumar Mohbey Sachin Tiwari

    2011-12-01

    Full Text Available This paper is based on the preprocessing activities which is performed by the software or language translators before applying mining algorithms on the huge data. Text mining is an important area of Data mining and it plays a vital role for extracting useful information from the huge database or data ware house. But before applying the text mining or information extraction process, preprocessing is must because the given data or dataset have the noisy, incomplete, inconsistent, dirty and unformatted data. In this paper we try to collect the necessary requirements for preprocessing. When we complete the preprocess task then we can easily extract the knowledgful information using mining strategy. This paper also provides the information about the analysis of data like tokenization, stemming and semantic analysis like phrase recognition and parsing. This paper also collect the procedures for preprocessing data i.e. it describe that how the stemming, tokenization or parsing are applied.

  13. A survey of temporal data mining

    Indian Academy of Sciences (India)

    Srivatsan Laxman; P S Sastry

    2006-04-01

    Data mining is concerned with analysing large volumes of (often unstructured) data to automatically discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. The field of temporal data mining is concerned with such analysis in the case of ordered data streams with temporal interdependencies. Over the last decade many interesting techniques of temporal data mining were proposed and shown to be useful in many applications. Since temporal data mining brings together techniques from different fields such as statistics, machine learning and databases, the literature is scattered among many different sources. In this article, we present an overview of techniques of temporal data mining. We mainly concentrate on algorithms for pattern discovery in sequential data streams. We also describe some recent results regarding statistical analysis of pattern discovery methods.

  14. IIIrd international women and mining conference report

    Energy Technology Data Exchange (ETDEWEB)

    K. Bhanumathi; Niki N. Kalpa; G.V.S. Ravi Shankar; Sarada Vanka; B. Gunavathi

    2005-05-15

    The 3rd conference attracted participants from 21 countries of Africa, North and South America, Europe, the Pacific, and Asia, including women from all regions of India. The conference presentations ranged from issues of displacement of tribal communities in the Philippines, Papua New Guinea, India and Australia; the health impacts of mining due to the cyanide spill in the gold mines of Kyrgyztan; the problems of radiation from the uranium mines; stories of the conflict diamonds of Sierra Leone; the struggles of the mining trade unions of South Africa, Canada and Zimbabwe; the child and women labourers involved in gold-panning and artisanal mining in Nicaragua, and Peru; the pollution of rivers in Ghana. The report contains summaries of all the papers presented at the conference together with the conference statement, declaration and five resolutions. Annexes contain four papers submitted at the conference.

  15. Comprehensive experiment and evaluation on safety due to fully-mechanized mining under the Xitian River at Linxin Mine

    Institute of Scientific and Technical Information of China (English)

    LAI Xing-ping; REN Fen-hua; CAI Mei-feng

    2004-01-01

    L3414 mechanized mining working face (No.14 coal seam) of Lingxin Mine is under the Xitian River. The mining disturbed zone where rock properties and conditions have been changed due to mining, the safety and environmental protection were concemed greatly. Based on engineering geological environment of L3414 working face and mining factors, the color bore-bole TV inspecting, leakage of drilling fluid monitoring,simulation experiment, numerical computing, in-situ ground stress measurement and subsidence measurement, etal, these programs contribute to the formation of a scientific basis for control water safe mining and normal mining or environmental protection in the condition of existing fully-mechanized mining.

  16. Mine

    Institute of Scientific and Technical Information of China (English)

    Taylor Swift

    2011-01-01

    乡村小天后泰勒·斯威夫特的新专辑《现在就说》(Speak Now)在万众期待中隆重登场.让众歌迷大呼过瘾。新专辑的曲风延续了小天后一贯的清新简洁的风格。泰勒·斯威夫特更是又写又唱.充分展现了自己作为一名创作型歌手的实力。

  17. Proceedings: Fourth Workshop on Mining Scientific Datasets

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is

  18. Aspects of surface and environment protection in German mining areas

    Institute of Scientific and Technical Information of China (English)

    FRANK Otto

    2009-01-01

    Hard coal mining in the German Ruhr district has a tradition of more than 200 years. Starting in the south near the river Ruhr with mining of seams near to the surface, mining wandered to the north with coal seams deeper and deeper. In the same way all environmental effects of mining wandered from south to north, as there are abandoned mining sites, contaminated areas, burning mining dumps, subsided areas and gas accesses at day ground. This all happened in a very high populated area with more than four million inhabitants. Therefore Germany has a long tradition in solving environmental problems of mining activities. The very good interaction of mine authority, mining companies and the mine workers' union is the main reason why the problems of decreasing mining activities in Germany were solved without economic, environmental or social hazards.

  19. Sustainable Land Management in Mining Areas in Serbia and Romania

    Directory of Open Access Journals (Sweden)

    Vesna Popović

    2015-08-01

    Full Text Available The paper analyzes the impacts of mining activities on sustainable land management in mining areas in the Republic of Serbia and Romania and discusses the main challenges related to the management of these issues in legislation and practice. Particular attention is paid to land disturbance, mine waste management and land reclamation, as well as access to land for mining purposes, the transfer of mining royalties and the partnerships of the mining industry, governments, communities and civil society for sustainable mining. Both governments are willing to provide the adequate role to mining in strengthening the national economies, but they face numerous constraints in this matter. Sustainable mining practices and consistent implementation of the mining for the closure planning approach, within an improved legislative framework and in cooperation with stakeholders at all levels, create conditions for the development of creative, profitable, environmentally-sound and socially-responsible management and reuse of mine lands.

  20. Design risk assessment for burst-prone mines: Application in a Canadian mine

    Science.gov (United States)

    Cheung, David J.

    A proactive stance towards improving the effectiveness and consistency of risk assessments has been adopted recently by mining companies and industry. The next 10-20 years forecasts that ore deposits accessible using shallow mining techniques will diminish. The industry continues to strive for success in "deeper" mining projects in order to keep up with the continuing demand for raw materials. Although the returns are quite profitable, many projects have been sidelined due to high uncertainty and technical risk in the mining of the mineral deposit. Several hardrock mines have faced rockbursting and seismicity problems. Within those reported, mines in countries like South Africa, Australia and Canada have documented cases of severe rockburst conditions attributed to the mining depth. Severe rockburst conditions known as "burst-prone" can be effectively managed with design. Adopting a more robust design can ameliorate the exposure of workers and equipment to adverse conditions and minimize the economic consequences, which can hinder the bottom line of an operation. This thesis presents a methodology created for assessing the design risk in burst-prone mines. The methodology includes an evaluation of relative risk ratings for scenarios with options of risk reduction through several design principles. With rockbursts being a hazard of seismic events, the methodology is based on research in the area of mining seismicity factoring in rockmass failure mechanisms, which results from a combination of mining induced stress, geological structures, rockmass properties and mining influences. The methodology was applied to case studies at Craig Mine of Xstrata Nickel in Sudbury, Ontario, which is known to contain seismically active fault zones. A customized risk assessment was created and applied to rockburst case studies, evaluating the seismic vulnerability and consequence for each case. Application of the methodology to Craig Mine demonstrates that changes in the design can

  1. Diamonds: Exploration, mines and marketing

    Science.gov (United States)

    Read, George H.; Janse, A. J. A. (Bram)

    2009-11-01

    The beauty, value and mystique of exceptional quality diamonds such as the 603 carat Lesotho Promise, recovered from the Letseng Mine in 2006, help to drive a multi-billion dollar diamond exploration, mining and marketing industry that operates in some 45 countries across the globe. Five countries, Botswana, Russia, Canada, South Africa and Angola account for 83% by value and 65% by weight of annual diamond production, which is mainly produced by four major companies, De Beers, Alrosa, Rio Tinto and BHP Billiton (BHPB), which together account for 78% by value and 72% by weight of annual diamond production for 2007. During the last twelve years 16 new diamond mines commenced production and 4 re-opened. In addition, 11 projects are in advanced evaluation and may begin operations within the next five years. Exploration for diamondiferous kimberlites was still energetic up to the last quarter of 2008 with most work carried out in Canada, Angola, Democratic Republic of the Congo (DRC) and Botswana. Many kimberlites were discovered but no new economic deposits were outlined as a result of this work, except for the discovery and possible development of the Bunder project by Rio Tinto in India. Exploration methods have benefitted greatly from improved techniques of high resolution geophysical aerial surveying, new research into the geochemistry of indicator minerals and further insights into the formation of diamonds and the relation to tectonic/structural events in the crust and mantle. Recent trends in diamond marketing indicate that prices for rough diamonds and polished goods were still rising up to the last quarter of 2008 and subsequently abruptly sank in line with the worldwide financial crisis. Most analysts predict that prices will rise again in the long term as the gap between supply and demand will widen because no new economic diamond discoveries have been made recently. The disparity between high rough and polished prices and low share prices of publicly

  2. Tellurium Mobility Through Mine Environments

    Science.gov (United States)

    Dorsk, M.

    2015-12-01

    Tellurium is a rare metalloid that has received minimal research regarding environmental mobility. Observations of Tellurium mobility are mainly based on observations of related metalloids such as selenium and beryllium; yet little research has been done on specific Tellurium behavior. This laboratory work established the environmental controls that influence Tellurium mobility and chemical speciation in aqueous driven systems. Theoretical simulations show possible mobility of Te as Te(OH)3[+] at highly oxidizing and acidic conditions. Movement as TeO3[2-] under more basic conditions may also be possible in elevated Eh conditions. Mobility in reducing environments is theoretically not as likely. For a practical approach to investigate mobility conditions for Te, a site with known Tellurium content was chosen in Colorado. Composite samples were selected from the top, center and bottom of a tailings pile for elution experiments. These samples were disintegrated using a rock crusher and pulverized with an automated mortar and pestle. The material was then classified to 70 microns. A 10g sample split was digested in concentrated HNO3 and HF and analyzed by Atomic Absorption Spectroscopy to determine initial Te concentrations. Additional 10g splits from each location were subjected to elution in 100 mL of each of the following solutions; nitric acid to a pH of 1.0, sulfuric acid to a pH of 2.0, sodium hydroxide to a pH of 12, ammonium hydroxide to a pH of 10, a pine needle/soil tea from material within the vicinity of the collection site to a pH of 3.5 and lastly distilled water to serve as control with a pH of 7. Sulfuric acid was purposefully chosen to simulate acid mine drainage from the decomposition of pyrite within the mine tailings. Sample sub sets were also inundated with 10mL of a 3% hydrogen peroxide solution to induce oxidizing conditions. All collected eluates were then analyzed by atomic absorption spectroscopy (AAS) to measure Tellurium concentrations in

  3. Influence of Mining Thickness on the Rationality of Upward Mining in Coal Seam Group

    Directory of Open Access Journals (Sweden)

    Y. Li

    2016-04-01

    Full Text Available This study aimed to determine the influence of mining thickness on the rationality of upward mining in coal seam group. Numerical simulation and theoretical analysis were performed to investigate the influence of the mining thicknesses of initial mining seam on the destruction and pressure relief effect of the upper coal seam in a high-gas coal seam group. The mechanical model of the roof failure based on the mining thickness was established by assuming that the gob formed after adjacent panels have fully been caved is the infinite plane. On the basis of this model, an equation was derived to calculate the roof failure height of the panel. Considering the geological conditions of No. 9 and No. 12 coal seams of Zhaogezhuang Coal Mine, economic effectiveness, and proposed techniques, we concluded that the top layer (4 m of the No. 12 coal seam should be mined first. The top layer of the No. 9 coal seam should be subsequently mined. The topcaving technique was applied to the exploitation of the lower layer of the No. 12 coal seam. Practically monitored data revealed that the deformation and failure of the No. 2699 panel roadway was small and controllable, the amount of gas emission was reduced significantly, and the effect of upward mining was active. The results of this study provide theory basics for mine designing, and it is the provision of a reference for safe and efficient coal exploitation under similar conditions.

  4. From Sequential Pattern Mining to Structured Pattern Mining:A Pattern-Growth Approach

    Institute of Scientific and Technical Information of China (English)

    Jia-Wei Han; Jian Pei; Xi-Feng Yan

    2004-01-01

    Sequential pattern mining is an important data mining problem with broad applications. However,it is also a challenging problem since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Recent studies have developed two major classes of sequential pattern mining methods: (1) a candidate generation-and-test approach, represented by (i) GSP, a horizontal format-based sequential pattern mining method, and (ii) SPADE, a vertical format-based method; and (2) a pattern-growth method, represented by PrefixSpan and its further extensions, such as gSpan for mining structured patterns. In this study, we perform a systematic introduction and presentation of the pattern-growth methodology and study its principles and extensions. We first introduce two interesting pattern-growth algorithms, FreeSpan and PrefixSpan, for efficient sequential pattern mining. Then we introduce gSpan for mining structured patterns using the same methodology. Their relative performance in large databases is presented and analyzed. Several extensions of these methods are also discussed in the paper, including mining multi-level, multi-dimensional patterns and mining constraint-based patterns.

  5. Research on mechanism of groundwater pollution from mine water in abandoned mines

    Institute of Scientific and Technical Information of China (English)

    WANG Lai-gui; LI Xi-lin; LIU Ling; HAN Liang

    2008-01-01

    In order to understand the mechanism and regularity of the groundwater contamination from mine water of abandoned mines, experiments were conducted on an abandoned coal mine in Fuxin, a representative city with lots of mine water in northeast China. The groundwater pollution from different contaminants of coal-mining voids (total hardness, SO2-4, Cl and total Fe) and pollution factors transportation situation in the coal rock were simulated by soil column experiment under the conditions of mine water leaching and main water leaching (similar to rainwater leaching), and the water-rock interaction mechanism was discussed during mine water infiltration through saturated coal rock by application of principle of mass conservation, based on physical properties of coal rock, as well as monitored chemical composition. The results show that, compared with the clear water leaching process, trends of change in pollutant concentrations presented different characteristics in the mine water leaching process. Groundwater is contaminated by the water rock interactions such as migration & accumulation, adsorption & transformation,dissolution & desorption and ion exchange during the mine water permeation. The experiments also suggest that at first dissolution rate of some kinds of dissoluble salts is high,but it decreases with leaching time, even to zero during both the mine water leaching and main water leaching.

  6. On 3D Geo-visualization of a Mine Surface Plant and Mine Roadway

    Institute of Scientific and Technical Information of China (English)

    WANG Yunjia; FU Yongming; FU Erjiang

    2007-01-01

    Constructing the 3D virtual scene of a coal mine is the objective requirement for modernizing and processing information on coal mining production. It is also the key technology to establish a "digital mine". By exploring current worldwide research, software and hardware tools and application demands, combined with the case study site (the Dazhuang mine of Pingdingshan coal group), an approach for 3D geo-visualization of a mine surface plant and mine roadway is deeply discussed. In this study, the rapid modeling method for a large range virtual scene based on Arc/Info and SiteBuilder3D is studied, and automatic generation of a 3D scene from a 2D scene is realized. Such an automatic method which can convert mine roadway systems from 2D to 3D is realized for the Dazhuang mine. Some relevant application questions are studied, including attribute query, coordinate query, distance measure, collision detection and the dynamic interaction between 2D and 3D virtual scenes in the virtual scene of a mine surface plant and mine roadway. A prototype system is designed and developed.

  7. Description of basic mining legal principles.

    Science.gov (United States)

    Schmidt, Reinhard

    2014-01-01

    The Federal Mining Act manages access, via the system of mining concessions, to areas free for mining natural resources that do not belong to the surface property and deposits' owner. These cover especially important natural resources for the economy, including coal, ore, salt, crude oil and natural gas, and also terrestrial heat. For mining operations there exist, however, the same decrees for natural resources in the property of the surface owners, which are predominantly higher-value industrial minerals such as roofing slate, basalt, quartz sand, and clays for the fireproofing industry. In the case of mining laws, administrative procedures such as issuing mining concessions, approving operating plans, and issuing permits or licenses to explore according to water rights or the Federal Immission Control Act, those authorities and departments in whose remit the projects fall are dealt with by the Mining Authority. This means that the Mining Authority is the only state point of contact for the applicant, essentially an "all-in-one" service as it will itself instigate any further participation procedures required. The classic licensing procedure of mining is the operations plan procedure, whereby the operator submits an operating plan to the Mining Authority, which then examines it to ensure it fulfills mandatory legal safety objectives. If necessary these safety objectives can be met during licensing of the operating plans by stipulating additional requirements, Depending on the subject and validity period there are overall operating plans having the widest possible remit with comprehensive participation by the authorities and basic operating plans that form the basis for every mining works. There are also special operating plans, which owing to the dynamics of mining, resolve matters that suddenly become necessary or when the basic operating plans as originally conceived were not relevant. The closing-down operating plan is the designated tool for closing down

  8. Condition evaluation of a unique mining site

    Institute of Scientific and Technical Information of China (English)

    Liu Junsheng; Chen Frank Y.; Ma Yan; Zhang Siya

    2015-01-01

    The primary objective of this study was to evaluate the existing conditions and the stability of a mining site in which the unique features of seismicity, mining activity, hydrological conditions, geological con-ditions, environmental conditions, and future development plans were considered. In particular, the potential subsidence locations near the proposed construction site, the effects of mining boundary profile, and the influence scope of the mining activity on the neighboring areas were investigated using the finite element method. The study results indicate:(1) the overlying sandstone layer to the coal layer is the key to the stability of the mining roof; (2) the broken boundary has the most effect, followed by the arc boundary and linear boundary; (3) the safe distance from the mining boundary should be at least 400 m if the proposed structure is to be built near an active mining site. Other relevant engineering rec-ommendations are also proposed. The concluded results from this study may serve as a guide to other similar sites in the world.

  9. Mine rent and the new economic system

    Energy Technology Data Exchange (ETDEWEB)

    Cadan, K. (Federalni Ministerstvo Paliv a Energetiky, Prague (Czechoslovakia))

    1989-09-01

    Reviews historical concept of ground rents with reference to works of Adam Smith and David Ricardo and to 19th century capitalism and Marxism-Leninism. Asks whether mine rents can exist under a socialist system and examines theoretical basis for mine rents, which includes socio-economic aspects, geological conditions, proximity to markets and environmental considerations. Compares mine rents with agricultural land rents and analyzes value of end product (coal) and effect of pricing method on it. Explains pricing system in Czechoslovakia, which involves 3 groupings: coking coal, coke and energy coal (including briquets), the price of each of which is set according to average costs and geological conditions. Surplus revenue (or positive mine rent) only arises therefore at mines where the production costs are lower than fixed trade prices. Discusses in general terms application of new economic system (perestroika) to concept of mine rent and assessment of mine profitability and concludes that method of pricing solid fuels will play a decisive role. 4 refs.

  10. Grizzly bear diet shifting on reclaimed mines

    Directory of Open Access Journals (Sweden)

    Bogdan Cristescu

    2015-07-01

    Full Text Available Industrial developments and reclamation change habitat, possibly altering large carnivore food base. We monitored the diet of a low-density population of grizzly bears occupying a landscape with open-pit coal mines in Canada. During 2009–2010 we instrumented 10 bears with GPS radiocollars and compared their feeding on reclaimed coal mines and neighboring Rocky Mountains and their foothills. In addition, we compared our data with historical bear diet for the same population collected in 2001–2003, before extensive mine reclamation occurred. Diet on mines (n=331 scats was dominated by non-native forbs and graminoids, while diets in the Foothills and Mountains consisted primarily of ungulates and Hedysarum spp. roots respectively, showing diet shifting with availability. Field visitation of feeding sites (n=234 GPS relocation clusters also showed that ungulates were the main diet component in the Foothills, whereas on reclaimed mines bears were least carnivorous. These differences illustrate a shift to feeding on non-native forbs while comparisons with historical diet reveal emergence of elk as an important bear food. Food resources on reclaimed mines attract bears from wilderness areas and bears may be more adaptable to landscape change than previously thought. The grizzly bear’s ready use of mines cautions the universal view of this species as umbrella indicative of biodiversity.

  11. Environmental management in North American mining sector.

    Science.gov (United States)

    Asif, Zunaira; Chen, Zhi

    2016-01-01

    This paper reviews the environmental issues and management practices in the mining sector in the North America. The sustainable measures on waste management are recognized as one of the most serious environmental concerns in the mining industry. For mining activities, it will be no surprise that the metal recovery reagents and acid effluents are a threat to the ecosystem as well as hazards to human health. In addition, poor air quality and ventilation in underground mines can lead to occupational illness and death of workers. Electricity usage and fuel consumption are major factors that contribute to greenhouse gases. On the other hand, many sustainability challenges are faced in the management of tailings and disposal of waste rock. This paper aims to highlight the problems that arise due to poor air quality and acid mine drainage. The paper also addresses some of the advantages and limitations of tailing and waste rock management that still have to be studied in context of the mining sector. This paper suggests that implementation of suitable environmental management tools like life cycle assessment (LCA), cleaner production technologies (CPTs), and multicriteria decision analysis (MCD) are important as it ultimately lead to improve environmental performance and enabling a mine to focus on the next stage of sustainability. PMID:26527335

  12. Uranium Mining and Remediation in India

    International Nuclear Information System (INIS)

    The paper describes the present situation of uranium mining and remediation in India. In India, the nuclear energy sector encompassing the complete fuel cycle is under the control of Department of Atomic Energy, Government of India. Uranium Corporation of India Ltd. (UCIL), a public sector undertaking under Department of Atomic Energy, with its headquarter at Jaduguda has been operating four underground mines, one opencast mine and two ore processing plants in East Singhbhum district of Jharkhand state. All these units are located in a geologically significant province - called Singhbhum Shear Zone, known for its uranium-copper resources. In addition, two large uranium mining and processing projects have been planned in the States of Andhra Pradesh and Meghalaya. These mines will be brought into production during the period between 2007 and 2012, and thereby increase the uranium production in the country for India's nuclear power programme. Though the mining operations for uranium in India commenced way back in the year 1968, no uranium mine has been closed so far in India. (author)

  13. Text Classification using Data Mining

    CERN Document Server

    Kamruzzaman, S M; Hasan, Ahmed Ryadh

    2010-01-01

    Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined categories. Text classification is the primary requirement of text retrieval systems, which retrieve texts in response to a user query, and text understanding systems, which transform text in some way such as producing summaries, answering questions or extracting data. Existing supervised learning algorithms to automatically classify text need sufficient documents to learn accurately. This paper presents a new algorithm for text classification using data mining that requires fewer documents for training. Instead of using words, word relation i.e. association rules from these words is used to derive feature set from pre-classified text documents. The concept of Naive Bayes classifier is then used on derived features and finally only a single concept of Genetic Algorithm has been added for final classification. A system based on the...

  14. Mining Developer Communication Data Streams

    Directory of Open Access Journals (Sweden)

    Andy M. Connor

    2014-02-01

    Full Text Available This paper explores the concepts of modelling a sof tware development project as a process that results in the creation of a continuous stream of d ata. In terms of the Jazz repository used in this research, one aspect of that stream of data would b e developer communication. Such data can be used to create an evolving social network charac terized by a range of metrics. This paper presents the application of data stream mining tech niques to identify the most useful metrics for predicting build outcomes. Results are presented fr om applying the Hoeffding Tree classification method used in conjunction with the Adaptive Sliding Window (ADWIN method for detecting concept drift. The results indicate t hat only a small number of the available metrics considered have any significance for predicting the outcome of a build.

  15. Data Mining in Materials Development

    Science.gov (United States)

    Morgan, Dane; Ceder, Gerbrand

    Data Mining (DM) has become a powerful tool in a wide range of areas, from e-commerce, to finance, to bioinformatics, and increasingly, in materials science [1, 2]. Miners think about problems with a somewhat different focus than traditional scientists, and DM techniques offer the possibility of making quantitative predictions in many areas where traditional approaches have had limited success. Scientists generally try to make predictions through constitutive relations, derived mathematically from basic laws of physics, such as the diffusion equation or the ideal gas law. However, in many areas, including materials development, the problems are so complex that constitutive relations either cannot be derived, or are too approximate or intractable for practical quantitative use. The philosophy of a DM approach is to assume that useful constitutive relations exist, and to attempt to derive them primarily from data, rather than from basic laws of physics.

  16. Mining protein sequences for motifs.

    Science.gov (United States)

    Narasimhan, Giri; Bu, Changsong; Gao, Yuan; Wang, Xuning; Xu, Ning; Mathee, Kalai

    2002-01-01

    We use methods from Data Mining and Knowledge Discovery to design an algorithm for detecting motifs in protein sequences. The algorithm assumes that a motif is constituted by the presence of a "good" combination of residues in appropriate locations of the motif. The algorithm attempts to compile such good combinations into a "pattern dictionary" by processing an aligned training set of protein sequences. The dictionary is subsequently used to detect motifs in new protein sequences. Statistical significance of the detection results are ensured by statistically determining the various parameters of the algorithm. Based on this approach, we have implemented a program called GYM. The Helix-Turn-Helix motif was used as a model system on which to test our program. The program was also extended to detect Homeodomain motifs. The detection results for the two motifs compare favorably with existing programs. In addition, the GYM program provides a lot of useful information about a given protein sequence. PMID:12487759

  17. Visual cues for data mining

    Science.gov (United States)

    Rogowitz, Bernice E.; Rabenhorst, David A.; Gerth, John A.; Kalin, Edward B.

    1996-04-01

    This paper describes a set of visual techniques, based on principles of human perception and cognition, which can help users analyze and develop intuitions about tabular data. Collections of tabular data are widely available, including, for example, multivariate time series data, customer satisfaction data, stock market performance data, multivariate profiles of companies and individuals, and scientific measurements. In our approach, we show how visual cues can help users perform a number of data mining tasks, including identifying correlations and interaction effects, finding clusters and understanding the semantics of cluster membership, identifying anomalies and outliers, and discovering multivariate relationships among variables. These cues are derived from psychological studies on perceptual organization, visual search, perceptual scaling, and color perception. These visual techniques are presented as a complement to the statistical and algorithmic methods more commonly associated with these tasks, and provide an interactive interface for the human analyst.

  18. CANINE: a robotic mine dog

    Science.gov (United States)

    Stancil, Brian A.; Hyams, Jeffrey; Shelley, Jordan; Babu, Kartik; Badino, Hernán.; Bansal, Aayush; Huber, Daniel; Batavia, Parag

    2013-01-01

    Neya Systems, LLC competed in the CANINE program sponsored by the U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC) which culminated in a competition held at Fort Benning as part of the 2012 Robotics Rodeo. As part of this program, we developed a robot with the capability to learn and recognize the appearance of target objects, conduct an area search amid distractor objects and obstacles, and relocate the target object in the same way that Mine dogs and Sentry dogs are used within military contexts for exploration and threat detection. Neya teamed with the Robotics Institute at Carnegie Mellon University to develop vision-based solutions for probabilistic target learning and recognition. In addition, we used a Mission Planning and Management System (MPMS) to orchestrate complex search and retrieval tasks using a general set of modular autonomous services relating to robot mobility, perception and grasping.

  19. Text Mining for Protein Docking.

    Directory of Open Access Journals (Sweden)

    Varsha D Badal

    2015-12-01

    Full Text Available The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking. Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground (http://dockground.compbio.ku.edu. The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound

  20. Fugitive Mercury Emissions From Nevada Gold Mines

    Science.gov (United States)

    Miller, M. B.; Eckley, C. S.; Gustin, M.; Marsik, F.

    2008-12-01

    Mercury (Hg) can be released from point sources at gold mines (e.g. stacks associated with ore processing facilities) as well as from diffuse fugitive sources (e.g. waste rock dumps, heap leaches, etc). Fugitive Hg emissions have not been quantified for active gold mines and as such a large knowledge gap exists concerning the magnitude of total emissions from this source type. This study measured fugitive Hg emissions from two active gold mines in Northern Nevada. To contextualize the magnitude of the mine emissions with respect to those associated with natural surfaces, data were collected from undisturbed areas near the mines that are of similar geologic character. The initial results from this project have shown that there is a large range in surface Hg concentrations and associated emissions to the atmosphere from different surface types within a mine as well as between the two mines. At both mines, the lowest surface Hg concentrations and emissions were associated with the alluvium/overburden waste rock dumps. Surface Hg concentrations and emissions at nearby undisturbed sites were of similar magnitude. Surface concentrations and emissions were substantially higher from active heap leaches. In addition to the difference in fluxes for specific materials, measured emissions must be put within the context of material spatial extent and temporal variability. Here we compare Hg emission contributions from mining and undisturbed materials as a function of space and time (diel and seasonal), and illustrate the need for collection of these types of data in order to reduce uncertainties in understanding air-surface Hg exchange.

  1. Mining truck scheduling with stochastic maintenance cost

    Institute of Scientific and Technical Information of China (English)

    Erkan TOPAL; Salih RAMAZAN

    2012-01-01

    Open pit mining operations utilize large scale and expensive equipment.For the mines implementing shovel and truck operation system,trucks constitute a large portion of these equipment and are used for hauling the mined materials.In order to have sustainable and viable operation,these equipment need to be utilized efficiently with minimum operating cost.Maintenance cost is a significant proportion of the overall operating costs.The maintenance cost of a truck changes non-linearly depending on the type,age and truck types.A new approach based on stochastic integer programming (SIP) techniques is used for annually scheduling a fixed fleet of mining trucks in a given operation,over the life of mine (multi-year time horizon) to minimize maintenance cost.The maintenance cost data in mining usually has uncertainty caused from the variability of the operational conditions at mines.To estimate the cost,usually historic data from different operations for new mines,and/or the historic data at the operating mines are used.However,maintenance cost varies depending on road conditions,age of equipment and many other local conditions at an operation.Traditional models aim to estimate the maintenance cost as a deterministic single value and financial evaluations are based on the estimated value.However,it does not provide a confidence on the estimate.The proposed model in this study assumes the truck maintenance cost is a stochastic parameter due to the significant level of uncertainty in the data and schedules the available fleet to meet the annual production targets.The scheduling has been performed by applying both the proposed stochastic and deterministic approaches.The approach provides a distribution for the maintenance cost of the optimized equipment schedule minimizing the cost.

  2. Sequential Pattern Mining Using Formal Language Tools

    Directory of Open Access Journals (Sweden)

    R. S. Jadon

    2012-09-01

    Full Text Available In present scenario almost every system and working is computerized and hence all information and data are being stored in Computers. Huge collections of data are emerging. Retrieval of untouched, hidden and important information from this huge data is quite tedious work. Data Mining is a great technological solution which extracts untouched, hidden and important information from vast databases to investigate noteworthy knowledge in the data warehouse. An important problem in data mining is to discover patterns in various fields like medical science, world wide web, telecommunication etc. In the field of Data Mining, Sequential pattern mining is one of the method in which we retrieve hidden pattern linked with instant or other sequences. In sequential pattern mining we extract those sequential patterns whose support count are greater than or equal to given minimum support threshold value. In current scenario users are interested in only specific and interesting pattern instead of entire probable sequential pattern. To control the exploration space users can use many heuristics which can be represented as constraints. Many algorithms have been developed in the fields of constraint mining which generate patterns as per user expectation. In the present work we will be exploring and enhancing the regular expression constraints .Regular expression is one of the constraint and number of algorithm developed for sequential pattern mining which uses regular expression as a constraint. Some constraints are neither regular nor context free like cross-serial pattern anbmcndm used in Swiss German Data. We cannot construct equivalent deterministic finite automata (DFA or Push down automata (PDA for such type of patterns. We have proposed a new algorithm PMFLT (Pattern Mining using Formal Language Tools for sequential pattern mining using formal language tools as constraints. The proposed algorithm finds only user specific frequent sequence in efficient

  3. Statistical framework for decision making in mine action

    DEFF Research Database (Denmark)

    Larsen, Jan

    The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...

  4. Statistical framework for decision making in mine action

    DEFF Research Database (Denmark)

    2007-01-01

    The lecture discusses the basics of statistical decision making in connection with humanitarian mine action. There is special focus on: 1) requirements for mine detection; 2) design and evaluation and confidence of mine equipment; 3) efficient mine action by hierarchical approaches; 4) performance...

  5. 25 CFR 216.7 - Approval of mining plan.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 1 2010-04-01 2010-04-01 false Approval of mining plan. 216.7 Section 216.7 Indians BUREAU OF INDIAN AFFAIRS, DEPARTMENT OF THE INTERIOR ENERGY AND MINERALS SURFACE EXPLORATION, MINING, AND RECLAMATION OF LANDS General Provisions § 216.7 Approval of mining plan. (a) Before surface mining...

  6. Using Open Web APIs in Teaching Web Mining

    Science.gov (United States)

    Chen, Hsinchun; Li, Xin; Chau, M.; Ho, Yi-Jen; Tseng, Chunju

    2009-01-01

    With the advent of the World Wide Web, many business applications that utilize data mining and text mining techniques to extract useful business information on the Web have evolved from Web searching to Web mining. It is important for students to acquire knowledge and hands-on experience in Web mining during their education in information systems…

  7. 43 CFR 23.8 - Approval of mining plan.

    Science.gov (United States)

    2010-10-01

    ... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Approval of mining plan. 23.8 Section 23.8 Public Lands: Interior Office of the Secretary of the Interior SURFACE EXPLORATION, MINING AND RECLAMATION OF LANDS § 23.8 Approval of mining plan. (a) Before surface mining operations may commence...

  8. 30 CFR 57.22226 - Testing for methane (IV mines).

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Testing for methane (IV mines). 57.22226... Standards for Methane in Metal and Nonmetal Mines Ventilation § 57.22226 Testing for methane (IV mines). Tests for methane shall be conducted in the mine atmosphere by a competent person— (a) At least...

  9. 15 CFR 970.601 - Logical mining unit.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Logical mining unit. 970.601 Section... § 970.601 Logical mining unit. (a) In the case of an exploration license, a logical mining unit is an... Administrator of a proposed exploration logical mining unit will be based on a case-by-case review of...

  10. Quantification of Operational Risk Using A Data Mining

    Science.gov (United States)

    Perera, J. Sebastian

    1999-01-01

    What is Data Mining? - Data Mining is the process of finding actionable information hidden in raw data. - Data Mining helps find hidden patterns, trends, and important relationships often buried in a sea of data - Typically, automated software tools based on advanced statistical analysis and data modeling technology can be utilized to automate the data mining process

  11. 36 CFR 5.14 - Prospecting, mining, and mineral leasing.

    Science.gov (United States)

    2010-07-01

    ... mineral leasing. 5.14 Section 5.14 Parks, Forests, and Public Property NATIONAL PARK SERVICE, DEPARTMENT OF THE INTERIOR COMMERCIAL AND PRIVATE OPERATIONS § 5.14 Prospecting, mining, and mineral leasing. Prospecting, mining, and the location of mining claims under the general mining laws and leasing under...

  12. 36 CFR 1005.14 - Prospecting, mining, and mineral leasing.

    Science.gov (United States)

    2010-07-01

    ... mineral leasing. 1005.14 Section 1005.14 Parks, Forests, and Public Property PRESIDIO TRUST COMMERCIAL AND PRIVATE OPERATIONS § 1005.14 Prospecting, mining, and mineral leasing. Prospecting, mining, and the location of mining claims under the general mining laws and leasing under the mineral leasing laws...

  13. 30 CFR 819.15 - Auger mining: Hydrologic balance.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Auger mining: Hydrologic balance. 819.15... MINING § 819.15 Auger mining: Hydrologic balance. (a) Auger mining shall be planned and conducted to minimize disturbances of the prevailing hydrologic balance in accordance with the requirements of §§...

  14. 30 CFR 49.8 - Training for mine rescue teams.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Training for mine rescue teams. 49.8 Section 49... TRAINING MINE RESCUE TEAMS § 49.8 Training for mine rescue teams. (a) Prior to serving on a mine rescue team each member shall complete, at a minimum, an initial 20-hour course of instruction as...

  15. 30 CFR 785.15 - Steep slope mining.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 3 2010-07-01 2010-07-01 false Steep slope mining. 785.15 Section 785.15... REQUIREMENTS FOR PERMITS FOR SPECIAL CATEGORIES OF MINING § 785.15 Steep slope mining. (a) This section applies to any persons who conducts or intends to conduct steep slope surface coal mining and...

  16. 30 CFR 57.22607 - Blasting on shift (III mines).

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Blasting on shift (III mines). 57.22607 Section... Standards for Methane in Metal and Nonmetal Mines Explosives § 57.22607 Blasting on shift (III mines). When blasting on shift, tests for methane shall be made in the mine atmosphere by a competent person...

  17. The Chamber of Mines' presidential address - 1992

    Energy Technology Data Exchange (ETDEWEB)

    Steekamp, N. (Chamber of Mines of South Africa, Johannesburg (South Africa))

    1992-01-01

    The article consists of an abridged version of the address by the South African Chamber of Mines' President to the annual general meeting (June 1992). Aspects of South African mining discussed include: international relations; economic performance; cost containment; coal mining; commodity markets; diversification; mining's contribution to the South African economy; wages and wage agreements; and rationalisation.

  18. Mining Product Data Models: A Case Study

    OpenAIRE

    Cristina-Claudia DOLEAN

    2014-01-01

    This paper presents two case studies used to prove the validity of some data-flow mining algorithms. We proposed the data-flow mining algorithms because most part of mining algorithms focuses on the control-flow perspective. First case study uses event logs generated by an ERP system (Navision) after we set several trackers on the data elements needed in the process analyzed; while the second case study uses the event logs generated by YAWL system. We offered a general solution of data-flow m...

  19. Role of Data mining in Insurance Industry

    Directory of Open Access Journals (Sweden)

    K. Umamaheswari

    2014-06-01

    Full Text Available n the global era, Insurance systems rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand of insurance increased. Data mining helps insurance firms to discovery useful patterns from the customer database. The purpose of the paper aims to present how data mining is useful in the insurance industry, how its techniques produce good results in insurance sector and how data mining enhance in decision making using insurance data. The conceptual paper is written based on secondary study, observation from various journals, magazines and reports.

  20. Web Mining: Characteristics and Application in ECommerce

    Directory of Open Access Journals (Sweden)

    Jyoti Yadav

    2012-09-01

    Full Text Available World Wide Web is source of information in todayz environment. Web is collection of inter-related files on one or more Web Servers. We have lots of data over there that can help in growing a business. Web mining is part of data mining, helps to find new patterns that enable a merchant to take new decisions for business opportunity. In this paper we discuss about characteristics and applications of web mining techniques in the context of E-commerce.