The rocks of the Martin Group crop out in an area 60 km by 50 km north of Lake Athabasca near Uranium City, northern Saskatchewan. This area has numerous uranium showings within a few kilometres of the unconformity below the Martin Group. Mineralization occurs in fault zones, in basement rocks and in sedimentary and volcanic rocks of the Martin Group. Martin Group sediments accumulated in alluvial fans, braided streams, and ephemeral lakes. The thickest sequence (8 km to 10 km) is preserved in the Beaverlodge area, near Uranium City. The style of sedimentation changed through time as the basin evolved from deposition of conglomeratic detritus along fault scarps to the accumulation of silt in ephemeral lakes. The uneven nature of the sub-Martin unconformity surface, the lithotype of the lowermost conglomerates and breccias (Beaverlodge Formation), and the shape of the basin fill indicate deposition in fault-controlled basins. The earliest economic uranium mineralization in the rocks of the Martin Group was epigenetic. The mineralization was coeval with that in basement rocks. Economic mineralization in basement rocks and in the lowermost formation of the Martin Group is close to the unconformity. Epigenetic uranium mineralization thus appears to have resulted from processes that were related, in time and space, to either the formation of the unconformity or the deposition of the Martin Group or both. (author). 29 refs, 5 figs
At the time of the recent closures of the Agnew Lake, Beaverlodge and Madawaska Mines Limited uranium mining and milling facilities, several relevant regulatory initiatives, including the development of decommissioning criteria, were underway, or contemplated. In the absence of precedents, the regulatory agencies and companies involved adopted approaches to the decommissioning of these facilities that reflected site specific circumstances, federal and provincial regulatory requirements, and generally accepted principles of good engineering practice and environmental protection. This paper summarizes related historical and current regulatory policies, requirements and guidelines; including those implemented at the three decommissioned sites
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.
Denison and Rio Algom are nearing the end of expansion programs at their Elliot Lake operations. Denison doubled its throughput to 1500 tonnes/day, and Rio Algom's Quirke and Panel mines produced 350 and 2990 tonnes/day respectively in 1981. The Rabbit Lake mine in Saskatchewan produced 1391 tonnes in 1981. Production at the Cluff Lake mine began in 1980, and the extraction and stockpiling of the 5000 tonne D orebody was completed by Oct. 1981. Key Lake is scheduled to start up in mid-1983 and will have capacity to produce 12 million pounds/yr of U3O8. Ontario Hydro is to buy 5200 tonnes of uranium from Key Lake, a third of its requirements between 1985 and 1993. Madawaska Mines, Agnew Lake Mines, and Eldorado's Beaverlodge mine are closing, startup on the Midwest Lake project is being deferred. Exploration for uranium is centered in Saskatchwan, at Dawn Lake, McClean Lake, and in the Athabasca basin. Activity is also high in the Northwest Territories. Moratoriums on uranium mining and exploration continue in British Columbia and Nova Scotia
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.
Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…
Trybula, Walter J.
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…
Khodabandelou, Ghazaleh; Hug, Charlotte; Deneckere, Rebecca; Salinesi, Camille
Process mining aims to discover, enhance or check the conformance of activity oriented process models from event logs. A new field of research, called intention mining, recently emerged. This new field has the same objectives than process mining but specifically addresses intentional process models. This paper aims to highlight the differences between these two fields of research and illustrates the use of mining techniques on a dataset of event logs, to discover an activity process model as ...
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).
Hobbs, B.; Grimstone, L.; MacBeth, A.
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.
Full text: The economic and environmental sustainability of uranium mining has been analysed by Monash University researcher Dr Gavin Mudd in a paper that challenges the perception that uranium mining is an 'infinite quality source' that provides solutions to the world's demand for energy. Dr Mudd says information on the uranium industry touted by politicians and mining companies is not necessarily inaccurate, but it does not tell the whole story, being often just an average snapshot of the costs of uranium mining today without reflecting the escalating costs associated with the process in years to come. 'From a sustainability perspective, it is critical to evaluate accurately the true lifecycle costs of all forms of electricity production, especially with respect to greenhouse emissions, ' he says. 'For nuclear power, a significant proportion of greenhouse emissions are derived from the fuel supply, including uranium mining, milling, enrichment and fuel manufacture.' Dr Mudd found that financial and environmental costs escalate dramatically as the uranium ore is used. The deeper the mining process required to extract the ore, the higher the cost for mining companies, the greater the impact on the environment and the more resources needed to obtain the product. It is clear that there is a strong sensitivity of energy and water consumption and greenhouse emissions to ore grade, and that ore grades are likely to continue to decline gradually in the medium to long term. These issues are critical to the current debate over nuclear power and greenhouse emissions, especially with respect to ascribing sustainability to such activities as uranium mining and milling. For example, mining at Roxby Downs is responsible for the emission of over one million tonnes of greenhouse gases per year and this could increase to four million tonnes if the mine is expanded.'
van der Aalst, W.M.P.; Rubin, V.; Verbeek, H.M.W.;
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...
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...
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.
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).
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...
This thesis introduces the novel concept of sentinel rules (sentinels). Sentinels are intended to represent the relationships between the data originating from the external environment and the data representing the critical organizational performance. The intention with sentinels is to warn...... into geography dimension) combined with a decrease in the money invested in customer support for laptop computers (drilldown into product dimension) is observed. The work leading to this thesis progressed from algorithms for regular sentinel mining with only one source and one target measure, into algorithms...... for mining generalized and multidimensional sentinels with multiple source measures. Furthermore, the mining algorithms became capable of automatically fitting the best warning periods for a given sentinel. Aside from expanding the capabilities of the algorithms, the work demonstrates a significant...
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
This technical report provides a comprehensive presentation of the Geoscientific studies (GS)' performed since 1986, and a new work on the Earthquake frontier research for terrestrial subsurface (EFR)' plan performed since 1995 in and around the Tono mine in Gifu prefecture. Main objects of GS in Tono area to provide sufficient informations on deep underground geological environment for its performance assessment and to develop some methods on site characterization. At present, some major studies are under progress in such fields as hydrology, hydro-geochemistry, isotope chemistry of groundwater, nuclide retardation, mine-by experiments, and development on instruments. And, EFR is divided to three categories, two of which have been performed at Tono mine under their names of the 'Development of ACROSS (Accurately controlled routinely operated signal system) for detecting microscale crustal movements' and the 'Studies of precursory and co-seismic changes in rock stress, water level and groundwater chemistry'. Here were shown on geology and geoscientific studies on Tono mine and on earthquake frontier research for terrestrial subsurface. (G.K.)
The mining of uranium in Australia is criticised in relation to it's environmental impact, economics and effects on mine workers and Aborigines. A brief report is given on each of the operating and proposed uranium mines in Australia
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.
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...
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...
K.Ganapathi Babu; A.Komali; V.Mythry; A.S.K.Ratnam
The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining, Internet technology and World Wide Web, and for the more recent Semantic Web. Semantic Web Mining is the outcome of two new and fast developing domains: Semantic Web and Data Mining. The Semantic Web is an extension of the current web in which informatio...
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.
This book provides a study aid to mine engineering students combining graphical techniques of mine mapping, mine design, and mine layout, as well as supplemental techniques needed for adequate mine design. The book reviews cartographic techniques, the fundamentals of plane surveying, standard drafting room practices, guidelines for mine map symbolization and production, mine entry nomenclature, and details of topographic map production. Supplemental techniques include methods of achieving functional performance in the layout of a mine, statistical mapping of exploratory data, and techniques of descriptive geometry. Designs of ventilation, transportation, drainage, and electrical supply systems of mines are discussed in the final chapters. An appendix discusses mine mapping symbols. 105 references, 234 figures, 16 tables.
Stumme, Gerd; Hotho, Andreas; Berendt, Bettina
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make use of Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is t...
Mine 371 of the Soviet-German WISMUT company, i.e.: Half of the capital with the unissued shares has now been inherited, according to the Russo-German Treaty of 1953 and in connection with German reunification by the Federal German Republic, with all the consequences with regard to mining supervision, results of mining, mining/social aspects and looking after the spoil. In addition, there will probably be the marketing of remaining uranium concentrates, because the Soviet Union will leave the company at the end of 1990. (orig./HS)
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.)
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...
Pacheco Cueva, Vladimir
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....
Berendt, Bettina; Hotho, Andreas; Stumme, Gerd
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. The idea is to improve, on the one hand, the results of Web Mining by exploiting the new semantic structures in the Web; and to make use of Web Mining, on overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
Golomeova, Mirjana; Zendelska, Afrodita; Krstev, Boris; Golomeov, Blagoj; Krstev, Aleksandar
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...
Bari, Pranit; P M Chawan
The paper discusses about web usage mining involves the automatic discovery of user access patterns from one or more Web servers. This article provides a survey and analysis of current Web usage mining systems and technologies. The paper also confers about the procedure in which the web usage mining of the data sets is carried out. Finally the paper concludes with the areas in which web usage mining is implemented
This paper gives the status of uranium mining by Areva in Saskatchewan. Uranium production now meets 85% of world demand for power generation. 80% of world production of uranium comes from top 5 countries: Kazakhstan, Canada, Australia, Niger and Namibia. Saskatchewan is currently the only Canadian province with active uranium mines and mills and the largest exploration programs. Several mine projects are going through the environmental assessment process. Public opinion is in favour of mining activities in Saskatchewan.
The Fraisse mine is one of the four underground mines of the La Crouzille mining divisions of Cogema. Faced with the necessity to mechanize its workings, this mine also had to satisfy a certain number of stringent demands. This has led to concept of four different mining methods for the four workings at present in active operation at this pit, which nevertheless preserve the basic ideas of the methods of top slicing under concrete slabs (TSS) or horizontal cut-and-fill stopes (CFS). An electric scooptram is utilized. With this type of vehicle the stringent demands for the introduction of means for fire fighting and prevention are reduced to a minimum. Finally, the dimensions of the vehicles and the operation of these methods result in a net-to-gross tonnages of close to 1, i.e. a maximum output, combined with a minimum of contamination
Data Mining technology allows marketing organizations to better understand their customers and respond to their needs. This chapter describes how Data Mining can be combined with customer relationship management to help drive improved interactions with customers. An example showing how to use Data Mining to drive customer acquisition activities is presented.
Estonian mineral resources are deposited in low depth and mining fields are large, therefore vast areas are affected by mining. There are at least 800 deposits with total area of 6,000 km2 and about the same number of underground mines, surface mines, peat fields, quarries, and sand and gravel pits. The deposits cover more than 10% of Estonian mainland. The total area of operating mine claims exceeds 150 km2 that makes 0.3 % of Estonian area. The book is written mainly for the people who are living or acting in the area influenced by mining. The observations and research could benefit those who are interested in geography and environment, who follow formation and look of mined-out landscapes. The book contains also warnings for careless people on and under the surface of the mined-out land. Part of the book contains results of the research made in 1968-1993 by the first two authors working at the Estonian branch of A.Skochinsky Institute of Mining. Since 1990, Arvi Toomik continued this study at the Northeastern section of the Institute of Ecology of Tallinn Pedagogical University. Enno Reinsalu studied aftereffects of mining at the Mining Department of Tallinn Technical University from 1998 to 2000. Geographical Information System for Mining was studied by Ingo Valgma within his doctoral dissertation, and this book is one of the applications of his study
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...
This book reports on mine waste management. Topics covered include: Performance review of modern mine waste management units; Mine waste management requirements; Prediction of acid generation potential; Attenuation of chemical constituents; Climatic considerations; Liner system design; Closure requirements; Heap leaching; Ground water monitoring; and Economic impact evaluation
Raaballe, J.; Grundy, B.D.
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...... structure, objectives of the manager, and convenience yield)....
Burch, Ian A.; Deas, Robert M.; Port, Daniel M.
An overview of the progress on the UK MOD Applied Research Program for Land Mine Detection. The Defense Science and Technology Laboratory (Dstl) carries out and manages the whole of the UK MOD's Mined Area Detection Applied Research Program both within its own laboratories and in partnership with industrial and academic research organizations. This paper will address two specific areas of Applied Research: hand held mine detection and vehicle mounted mine detection in support of the Mine Detection Neutralization and Route Marking System which started in April 1997. Both are multi-sensor systems, incorporating between them metal detection, ground penetrating radar, nuclear quadrupole resonance, ultra-wideband radar, and polarized thermal imaging.
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.)
Aggarwal, Charu C
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
The aim of this contribution is to illustrate the role of statistical models and, more generally, of statistics, in choosing a Data Mining model. After a preliminary introduction on the distinction between Data Mining and statistics, we will focus on the issue of how to choose a Data Mining methodology. This well illustrates how statistical thinking can bring real added value to a Data Mining analysis, as otherwise it becomes rather difficult to make a reasoned choice. In the third part of the paper we will present, by means of a case study in credit risk management, how Data Mining and statistics can profitably interact.
Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish
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
To an increasing degree the permissibility of mining projects is coming under the purview of nature conservation law. This field of law owes its current prominence largely to the amended Federal Nature Conservation Law and the recurrent effects of the communal habitat protection guidelines on mining operations. This has had momentous consequences for all sectors of the mining industry. The same applies to the rehabilitation of areas formerly used for mining, a very visible example of which is the remediation of former Wismut mines. This congress report on the Third Colloquium on Mining and Environmental Protection and the Tenth Aachen Environmental Meeting contains examples of rehabilitation measures that have been successfully implemented in various branches of mining
Dvořáček, Jaroslav; Vidlář, Jiří; Štěrba, Jiří; Heviánková, Silvie; Vaněk, Michal; Barták, Pavel
Mine water poses a significant problem in lignite coal mining. The drainage of mine water is the fundamental prerequisite of mining operations. Under the legislation of the Czech Republic, mine water that discharges into surface watercourse is subject to the permission of the state administration body in the water management sector. The permission also stipulates the limits for mine water pollution. Therefore, mine water has to be purified prior to discharge. Although all...
Pham, Quang-Khai; Saint-Paul, Régis; Benatallah, Boualem; Mouaddib, Noureddine; Raschia, Guillaume
Major media companies such as The Financial Times, the Wall Street Journal or Reuters generate huge amounts of textual news data on a daily basis. Mining frequent patterns in this mass of information is critical for knowledge workers such as financial analysts, stock traders or economists. Using existing frequent pattern mining (FPM) algorithms for the analysis of news data is difficult because of the size and lack of structuring of the free text news content. In this article, we demonstrate ...
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 ...
Dessureault, S. [Arizona Univ., Tucson, AZ (United States)
Most modern mining operations are accumulating large amounts of data on production and business processes. Data, however, provides value only if it can be translated into information that appropriate users can utilize. This paper emphasized that a new technological focus should emerge, notably how to concentrate data into information; analyze information sufficiently to become knowledge; and, act on that knowledge. Researchers at the Mining Information Systems and Operations Management (MISOM) laboratory at the University of Arizona have created a method to transform data into action. The data-to-action approach was exercised in the development of an energy consumption model (ECM), in partnership with a major US-based copper mining company, 2 software companies, and the MISOM laboratory. The approach begins by integrating several key data sources using data warehousing techniques, and increasing the existing level of integration and data cleaning. An online analytical processing (OLAP) cube was also created to investigate the data and identify a subset of several million records. Data mining algorithms were applied using the information that was isolated by the OLAP cube. The data mining results showed that traditional cost drivers of energy consumption are poor predictors. A comparison was made between traditional methods of predicting energy consumption and the prediction formed using data mining. Traditionally, in the mines for which data were available, monthly averages of tons and distance are used to predict diesel fuel consumption. However, this article showed that new information technology can be used to incorporate many more variables into the budgeting process, resulting in more accurate predictions. The ECM helped mine planners improve the prediction of energy use through more data integration, measure development, and workflow analysis. 5 refs., 11 figs.
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.
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.
Treatment methods for mine-water from decommissioning uranium mines are introduced and classified. The suggestions on optimal treatment methods are presented as a matter of experience with decommissioned Chenzhou Uranium Mine
Chang, Qingliang; Zhou, Huaqiang; Bai, Jianbiao
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. PMID:25258737
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.
Knowledge discovery and data mining software (Knowledge Discovery and Data Mining - KDD) as an interdisciplinary field emersion have been in rapid growth to merge databases, statistics, industries closely related to the desire to extract valuable information and knowledge in a volume as possible.There is a difference in understanding of "knowledge discovery" and "data mining." Discovery information (Knowledge Discovery) in the database is a process to identify patterns / templates of valid da...
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)
Sampathkumar, Sriram (Ram)
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...
Some of the key issues discussed are: new technology in mining and its impact on safety, risk assessment and accident prevention, information technology and mine safety, quality assurance and safety, workplace monitoring and occupational health surveys, disaster prevention and management plans, environmental concerns and public acceptance and human resource development
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)
P. C. Mohan
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 ...
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 ...
Analysing the current situation of uranium mining and metallurgy; Setting up goals for green uranium mining and metallurgy, its fundamental conditions, Contents and measures. Putting forward an idea to combine green uranium mining and metallurgy with the state target for green mining, and keeping its own characteristics. (author)
Contaminated mine water treatment before discharging into surface water streams is mandatory for the uranium mines within the National Uranium Company SA - Romania in order to limit supplementary exposure of the population living downside the mine sites. Present mine water treatment plants have to be upgraded in order to ensure the stringent limits for uranium and radium concentrations even when processing waters resulted from the mine flooding process. Ion exchange method is used for uranium removal while radium is separated by adsorption on activated carbon. Separation process and performance are presented for the water treatment plant at an active mine and at a closed mine. (author)
Qingliang Chang; Jianhang Chen; Huaqiang Zhou; Jianbiao Bai
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...
Kalyankar, N. V.
This paper presents an overview of data mining, then discusses standards of existing and proposed that are relevant to data mining. This includes standards that affect several stages of a data mining project. Summaries of several emerging standards are given, as well as proposals that have the potential to change the way data mining tools are built.
More soil is removed from the earth's surface nowadays by mining than by natural erosion from all of the world's rivers. Few people realise that mines and smelting works account for up to a tenth of our total energy consumption, and that mining leaves thousands of tons of waste behind; next to which, the everyday waste accumulated in towns worldwide almost pales into insignificance. The question is, can we really afford the price of our consumption of rawmaterials in terms of the consequential harm to our environment? New strategies and solution possibilities are discussed in the text. (orig./HP)
Kauppila, Päivi; Kauppila, Tommi; Pasanen, Antti; Backnäs, Soile; Liisa Räisänen, Marja; Turunen, Kaisa; Karlsson, Teemu; Solismaa, Lauri; Hentinen, Kimmo
Closure of mining operations is an essential part of the development of eco-efficient mining and the Green Mining concept in Finland to reduce the environmental footprint of mining. Closedure is a 2-year joint research project between Geological Survey of Finland and Technical Research Centre of Finland that aims at developing accessible tools and resources for planning, executing and monitoring mine closure. The main outcome of the Closedure project is an updatable wiki technology-based internet platform (http://mineclosure.gtk.fi) in which comprehensive guidance on the mine closure is provided and main methods and technologies related to mine closure are evaluated. Closedure also provides new data on the key issues of mine closure, such as performance of passive water treatment in Finland, applicability of test methods for evaluating cover structures for mining wastes, prediction of water effluents from mine wastes, and isotopic and geophysical methods to recognize contaminant transport paths in crystalline bedrock.
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...
Anish Gupta; Vimal Bibhu; Rashid Hussain
Data mining is a technique to dig the data from the large databases for analysis and executive decision making. Security aspect is one of the measure requirement for data mining applications. In this paper we present security requirement measures for the data mining. We summarize the requirements of security for data mining in tabular format. The summarization is performed by the requirements with different aspects of security measure of data mining. The performances and outcomes are determin...
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...
Musser, Linda R. (Pennsylvania State University); GreyNet, Grey Literature Network Service
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...
De Raedt, Luc
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...
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...
Mining activities at lignite areas around Neyveli are described. Measures taken to safeguard the environment from despoliation of land, air pollution, noise pollution and effluents are described. (M.G.B.)
Mucherino, Antonio; Pardalos, Panos M
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.
As part of Syncrude Canada's continuing efforts to improve operations, its oil sands mine was compared to other surface mines in order to determine possible areas of improvement. The two basic tools used in this process were influence diagrams, which capture pictorially all of the factors that may affect a particular outcome, and benchmarking, which allows mathematical relationships to be developed for the various influences. These relationships estimate the magnitude of the influence on an outcome and allow prediction of changes in outcomes when an influence is changed. A model was developed, using data from four different mines, to make the comparisons with Syncrude's operation. The results show that Syncrude could improve costs by ca 10% if all of the superior methods and ideas used at other mines could be adopted. 1 fig
This paper examines the efficacy of the Department of the Interior's Office of Surface Mining Reclamation and Enforcement's (OSMRE) efforts to implement the federally assisted coal mine subsidence insurance program. Coal mine subsidence, a gradual settling of the earth's surface above an underground mine, can damage nearby land and property. To help protect property owners from subsidence-related damage, the Congress passed legislation in 1984 authorizing OSMRE to make grants of up to $3 million to each state to help the states establish self-sustaining, state-administered insurance programs. Of the 21 eligible states, six Colorado, Indiana, Kentucky, Ohio, West Virginia, and Wyoming applied for grants. This paper reviews the efforts of these six states to develop self-sustaining insurance programs and assessed OSMRE's oversight of those efforts
P. V. G. S. Mudiraj B. Jabber K. David raju
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.
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.
Amit T Kharat; Amarjit Singh; Kulkarni, Vilas M; Digish Shah
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...
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...
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.
Gaber, Mohamed Medhat; Zaslavsky, Arkady; Krishnaswamy, Shonali
Data mining is concerned with the process of computationally extracting hidden knowledge structures represented in models and patterns from large data repositories. It is an interdisciplinary field of study that has its roots in databases, statistics, machine learning, and data visualization. Data mining has emerged as a direct outcome of the data explosion that resulted from the success in database and data warehousing technologies over the past two decades (Fayyad, 1997,Fayyad, 1998,Kantardzic, 2003).
Keim, Daniel A.; Ward, Matthew O.
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process. There are a large number of information visualization techniques that have been developed over the last two decades to suppo...
Ankita Guhe; Shruti Deshmukh; Bhagyashree Borekar; Apoorva Kailaswar; Milind E. Rane
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...
A.T. Ravi; Chitra, S.
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information or to anonymize them at an uncertainty level. This study uses PPDM with adult dataset to investigate effects of K-anonymization for evaluation metrics. This study uses Artificial Bee Colony (ABC) algorithm for feature generalization and suppr...
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...
Nygård, Jardar; Brødreskift, Kenneth; Zhang, Yin Yin; Kontny, Sandra Elisabeth
This thesis presents the findings from an in-depth analysis of the Chinese market for environmental mining management, with the aim to explore the possibility to offer consulting and educational services in this market. The analysis is carried out on behalf of Kjeøy Research and Education Center (KREC), a Norwegian company providing education and consulting services on environmental management in the mining industry. KREC is a small business founded in 2003 and is located in Northern No...
YING LIU; JIANWEI LI; WEI-KENG LIAO; ALOK CHOUDHARY; YONG SHI
High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web service, since items are actually different in many aspects in real applications. However, due to the lack of "downward closure property", the c...
Jerzy Kicki; Eugeniusz Sobczyk (eds.)
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.
In this paper we discuss mining with respect to web data referred here as web data mining. We have categorized web data mining into threes areas; web content mining, web structure mining and web usage mining. We have highlighted and discussed various research issues involved in each of these web data mining category. We believe that web data mining will be the topic of exploratory research in near future. Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD...
This mining environmental handbook examines and defines the dual-effect of mining on the environment and the relatively new environmental controls on mining. The US Federal and state laws dealing with environmental control of mining are outlined. Mining-related environmental impacts on land, water, air, plants, wildlife and society are reviewed and the technologies, practices and standards available to prevent or mitigate each of these adverse environmental impacts are described. Environmental permitting and systems design for environmental protection are covered. Specialised or individual mining situations such as coal mining, solution mining, acid mine drainage and use of surface mines as landfills and repositories are discussed. Costs and financial assurance requirements are also covered
DENG Jian; BIAN Li
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.
Currently all over the World, the sustainable developments of human activities are being given increasing importance. Mining operations playa vital role in fulfilling economic and social growth of a nation and therefore, it is necessary to develop SMP (Sustainable Mining Practices) to actualise sustainable developments. One of the major components of sustainable mining practices is the management of the water regime during mining operations for the present and the future generations. For real and efficient management of the water regime from the pre-mining to the postmining stage, a sustain ability index has been developed which follows a mathematical model based on the three environmental indicators namely Physico-chemical properties. Toxic elements and Other Components. This paper is specifically concerned with the assessment of mine water sustainability due to tungsten mining and describes the availability of tungsten resources throughout the World together with the mine water sustainability results of an underground tungsten mine in Portugal. (author)
CLAUDIA ELENA DINUCĂ
Full Text Available The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure. Application of data mining methods is the right solution for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering and Web based data warehousing. In this paper, I provide an introduction of Web mining categories and I focus on one of these categories: the Web structure mining. Web structure mining, one of three categories of web mining for data, is a tool used to identify the relationship between Web pages linked by information or direct link connection. It offers information about how different pages are linked together to form this huge web. Web Structure Mining finds hidden basic structures and uses hyperlinks for more web applications such as web search.
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)
Abouelhoda, Mohamed; Ghanem, Moustafa
Sequence analysis is a major area in bioinformatics encompassing the methods and techniques for studying the biological sequences, DNA, RNA, and proteins, on the linear structure level. The focus of this area is generally on the identification of intra- and inter-molecular similarities. Identifying intra-molecular similarities boils down to detecting repeated segments within a given sequence, while identifying inter-molecular similarities amounts to spotting common segments among two or multiple sequences. From a data mining point of view, sequence analysis is nothing but string- or pattern mining specific to biological strings. For a long time, this point of view, however, has not been explicitly embraced neither in the data mining nor in the sequence analysis text books, which may be attributed to the co-evolution of the two apparently independent fields. In other words, although the word "data-mining" is almost missing in the sequence analysis literature, its basic concepts have been implicitly applied. Interestingly, recent research in biological sequence analysis introduced efficient solutions to many problems in data mining, such as querying and analyzing time series [49,53], extracting information from web pages , fighting spam mails , detecting plagiarism , and spotting duplications in software systems .
Mijalkovski, Stojance; Despodov, Zoran; Gorgievski, Cvetan; Bogdanovski, Goran; Mirakovski, Dejan; Hadzi-Nikolova, Marija; Doneva, Nikolinka
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.
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
The National Uranium Company S.A. is dealing with mining and processing of uranium ores. Treatment of mine waters to remove radionuclides such as uranium and radium is a concern in order to reach the permissible values required by local environment authorityies. The decontamination methods and facilities at two underground uranium mines , Suceava and Banat mines respectivelly, are presented. The Suceava mine is active while de Banat mines are closed out since 1998 and ready to be flooded during the 2005-2007 period. It was concluded that removal of uranium and radium from mine waters have a positive environmental impact by decreasing the risk of radiation dose received by critical groups of local population, downside the active or flooded underground mines. Recovered uranium yellow cake and radium rich sludge are transferred for valorization or safe disposal, outside the mine sites. Transfer of uranium loaded resins from the Banat plant to an ore processing plant is foreseen when the same type resin will be used on both sites. Although costly, the mine water treatment at uranium mines is a mandatory task for our mining company in present and also in future
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.
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
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
Qian YE; Ling CHEN; Gen-cai CHEN
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.
Full Text Available The hunt for knowledge has led to new discoveries and inventions. With the materialization of World Wide Web, it became a core for all these discoveries and inventions. Web browsers became a tool to make the information available at our finger tips. WWW stands for World Wide Web, and it is an advanced information retrieval system. As years passed World Wide Web became weighed down with information and it became hard to retrieve data according to the need. Web mining came as salvage for the above problem. Web content mining is a subdivision under web mining. This paper deals with a study of different techniques and pattern of content mining and the areas which has been influenced by content mining. The web contains structured, unstructured, semi structured and multimedia data. This survey focuses on how to apply content mining on the above data. It also points out how web content mining can be utilized in web usage mining.
This paper covers six of the many mining and associated developments in South Africa. These are: (1) Deep level gold mining at Western Deep Levels Limited - (2) Palabora Mining Company Limited - SA's unique copper mine - (3) Production of steel and vanadium-rich slag at Highveld Steel and Vanadium Corporation - (4) Coal mining at Kriel and Kleinkopje Collieries - (5) A mass mining system for use below the Gabbro Sill at Premier Diamond Mine - (6) Uranium production - joint metallurgical scheme- Orange Free State Gold Mines. - For publication in this journal the original paper has been summarised. Should any reader wish to have the full text in English he should write to the author at the address below. (orig.)
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...
Santos, José Carlos Almeida
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...
Kiayias, Aggelos; Koutsoupias, Elias; Kyropoulou, Maria; Tselekounis, Yiannis
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...
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...
Brown, Meta S
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
CLAUDIA ELENA DINUCĂ; DUMITRU CIOBANU
The World Wide Web, or simply the web, is the most dynamic environment. The web has grown steadly in recent years and his content is changing every day. Today, they are several billions of HTML documents, pictures and another multimedia files available on the Internet. There is a need of methods to help us extract information from the content of web pages. One answer to this problem is using the data mining techniques that is known as web content mining, which is defined as “the process of ex...
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
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.
Peixoto, Rui Daniel Ferreira
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...
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
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.
. Ramageri; Bharati M.
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.
Highlights: • Mineral characterization in mine waste is critical for prediction of metal leaching. • Analytical methods and examples are reviewed, including advanced techniques. • Quantitative mineralogy is described as a promising new method. • Example shows that understanding secondary arsenic minerals improves risk assessment. - Abstract: The application of mineralogical characterization to mine waste has the potential to improve risk assessment, guide appropriate mine planning for planned and active mines and optimize remediation design at closed or abandoned mines. Characterization of minerals, especially sulphide and carbonate phases, is particularly important for predicting the potential for acidic drainage and metal(loid) leaching. Another valuable outcome from mineralogical studies of mine waste is an understanding of the stability of reactive and metal(loid)-bearing minerals under various redox conditions. This paper reviews analytical methods that have been used to study mine waste mineralogy, including conventional methods such as X-ray diffraction and scanning electron microscopy, and advanced methods such as synchrotron-based microanalysis and automated mineralogy. We recommend direct collaboration between researchers and mining companies to choose the optimal mineralogical techniques to solve complex problems, to co-publish the results, and to ensure that mineralogical knowledge is used to inform mine waste management at all stages of the mining life cycle. A case study of arsenic-bearing gold mine tailings from Nova Scotia is presented to demonstrate the application of mineralogical techniques to improve human health risk assessment and the long-term management of historical mine wastes
The author presents a concluded mining situation and existed problem in Benxi Uranium Mine in recent years. According to these, a technical analysis of several mining method is technically possible and economically reasonable. In order to improve this mining method, several reinforcements of surrounding rock are presented. It is proposed to decrease exposure time of mining excavation to minimum and fill the excavation quickly using new filling method for security. Some proposed plans have been applied on site, the others will be helpful to the later operation of the project
... 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...
Energy Resource of Australia (ERA) is a public company with 68% of its shares owned by the Australian company North Limited. It is currently operating one major production centre - Ranger Mine which is 260 kilometres east of Darwin, extracting and selling uranium from the Ranger Mine in the Northern Territory to nuclear electricity utilities in Japan, South Korea, Europe and North America. The first drum of uranium oxide from Ranger was drummed in August 1981 and operations have continued since that time. ERA is also in the process of working towards obtaining approvals for the development of a second mine - Jabiluka which is located 20 kilometres north of Ranger. The leases of Ranger and Jabiluka adjoin. The Minister for the Environment has advised the Minister for Resources and Energy that there does not appear to be any environmental issue which would prevent the preferred Jabiluka proposal from proceeding. Consent for the development of ERA's preferred option for the development of Jabiluka is being sought from the Aboriginal Traditional Owners. Ranger is currently the third largest producing uranium mine in the world producing 4,237 tonnes of U3O8 in the year to June 1997
Mueller, Rob; Murphy, Gloria
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.
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…
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.
Aggarwal, Charu C
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
will be large and similarly the lime laken to re-establish the same environment will be much more than thai of the mining activity. Sediment di.rcharge and ecological imlmltl1lCt': After lifting polymetallic nodules from the seafioor to the mining vessel... in transferring production to other product lines. They lacklhe technological and economic requirements necessary to mine the oceans. to , . Measure Cor 'sufe' nodule mIning In order lO monitor the impact of nodule mining on the environment, it is necessary...
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
Thuraisingham, Bhavani; Awad, Mamoun
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
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)
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...
Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis
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
Cheong, Young-Wook; Min, Jeong-Sik; Kwon, Kwang-Soo [Korea Institute of Geology Mining and Materials, Taejon (KR)] (and others)
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.
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.
Microbes are playing increasingly important roles in commercial mining operations, where they are being used in the open-quotes bioleachingclose quotes of copper, uranium, and gold ores. Direct leaching is when microbial metabolism changes the redox state of the metal being harvested, rendering it more soluble. Indirect leaching includes redox chemistry of other metal cations that are then coupled in chemical oxidation or reduction of the harvested metal ion and microbial attack upon and solubilization of the mineral matrix in which the metal is physically embedded. In addition, bacterial cells are used to detoxify the waste cyanide solution from gold-mining operations and as open-quotes absorbantsclose quotes of the mineral cations. Bacterial cells may replace activated carbon or alternative biomass. With an increasing understanding of microbial physiology, biochemistry and molecular genetics, rational approaches to improving these microbial activities become possible. 40 refs., 3 figs
Pranjal S. Bogawar
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.
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...
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
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
Bacchelli, Alberto; Lanza, Michele
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...
CLAUDIA ELENA DINUCĂ
The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure. Application of data mining methods is the right solution for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, quest...
Pranjal S. Bogawar; Kishor K. Bhoyar
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...
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.
Karwath, Andreas; De Raedt, Luc
Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patterns and then use these as features to build predictive models. Rather than building these models in a two step indirect way, the SMIREP system introduced in this paper, derives predictive rule models from molecular data directly. SMIREP combines the SMILES and SMARTS representation languages that are popular in computational ch...
This material contents the "handouts" given to students for data mining lecture held at the Department of Health Informatics at the University of Kyoto in July 2010. The informality of the "course", which took five two-hour lectures is reflected in informality of this text, too, as it even includes references to discussions at past lectures and so on. Some more material is available at http://www.ailab.si/janez/kyoto.
The development in networking, processor and storage technologies have led to the increase in the amount of data flowing into organizations, the creation of mega databases and data warehouses to handle the bulk of transactional data in digital form. This has led to the emphatic need to develop processes and tools to explicitly analyze such data so as to extract valuable trends and correlations generating interesting information that will yield knowledge from the data. Data mining is the te...
Demiriz, Ayhan; Ertek, Gürdal; Ertek, Gurdal; Atan, Tankut; Kula, Ufuk
Positive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the pricing and time information has not been incorporated into market basket analysis so far, and additional attributes have been handled using ...
Sanmiquel Pera, Lluís; Rossell Garriga, Josep Maria; Vintró Sánchez, Carla
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...
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...
Samms, Kevin O.
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.
Habersat, James D.; Marshall, Christopher; Maksymonko, George
The NVESD Mine Lane Facility has recently undergone an extensive renovation. It now consists of an indoor, dry lane portion, a greenhouse portion with moisture-controlled lanes, a control room, and two outdoor lanes. The indoor structure contains six mine lanes, each approximately 2.5m (width) × 1.2m (depth) × 33m(length). These lanes contain six different soil types: magnetite/sand, silt, crusher run gravel (bluestone gravel), bank run gravel (tan gravel), red clay, and white sand. An automated trolley system is used for mounting the various mine detection systems and sensors under test. Data acquisition and data logging is fully automated. The greenhouse structure was added to provide moisture controlled lanes for measuring the effect of moisture on sensor effectiveness. A gantry type crane was installed to permit remotely controlled positioning of a sensor package over any portion of the greenhouse lanes at elevations from ground level up to 5m without shadowing the target area. The roof of the greenhouse is motorized, and can be rolled back to allow full solar loading. A control room overlooking the lanes is complete with recording and monitoring devices and contains controls to operate the trolleys. A facility overview is presented and typical results from recent data collection exercises are presented.
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.
Longwall coal mining in southern Illinois occurs beneath some of the best agricultural land in the U.S. This region is characterized by highly productive, nearly level, and somewhat poorly drained soils. Subsidence from longwall mining causes changes in surface topography which alters surface and subsurface hydrology. These changes can adversely affect agricultural land by creating wet or ponded areas that can be deleterious to crop production. While most subsided areas show little impact from subsidence, some areas experience total crop failure. Coal companies are required by law to mitigate subsidence damage to cropland. The objective of this paper is to test the effectiveness of mitigation in restoring grain yields to their pre-mined levels. The research was conducted on sites selected to represent conventional mitigation techniques on the predominate soils in the area. Corn (Zea mays L.) and soybean [Glycine max.(L.) Merr] yields in 1988, 1989, 1990, and 1991 from mitigated areas were compared to yields from nearby undisturbed areas
This book presents conference papers on advances in mineral processing, coal mining, communications for mining executives, environmental laws and regulations, exploration philosophy, exploration technology, government controls and the environment, management, mine finance, minerals availability, mine safety, occupational health, open pit mining, the precious metals outlook, public lands, system improvements in processing ores, and underground mining. Topics considered include coal pipelines and saline water, an incentive program for coal mines, sandwich belt high-angle conveyors, the development of a mining company, regulations for radionuclides, contracts for western coal production for Pacific Rim exports, and the control of radon daughters in underground mines
SHAO Liang-shan; FU Gui-xiang
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.
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...
Cashman, T. Michael
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...
... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Mine map. 77.1200 Section 77.1200 Mineral... SAFETY STANDARDS, SURFACE COAL MINES AND SURFACE WORK AREAS OF UNDERGROUND COAL MINES Maps § 77.1200 Mine map. The operator shall maintain an accurate and up-to-date map of the mine, on a scale of not...
Yan, Dapeng; Yang, Jin; Zeng, Qiming
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.
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
Gidofalvi, Gyozo; Pedersen, Torben Bach
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...
Underground coal mining has occurred beneath 32 x 109m2 (8 million acres) of land in the United States and will eventually extend beneath 162 x 109m2 (40 million acres). Most of this mining has taken place and will take place in the eastern half of the United States. In areas of abandoned mines where total extraction was not achieved, roof collapse, crushing of coal pillars, or punching of coal pillars into softer mine floor or roof rock is now resulting in sinkhole or trough subsidence tens or even hundreds of years after mining. Difference in geology, in mining, and building construction practice between Europe and the United States preclude direct transfer of European subsidence engineering experience. Building damage cannot be related simply to tensile and compressive strains at the ground surface. Recognition of the subsidence damage role played by ground-structure interaction and by structural details is needed
Norlela Samsudin; Abdul Razak Hamda; Mazidah Puteh; Mohd Zakree Ahmad Nazri
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 appr...
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.
Kurt Hornik; Ingo Feinerer; David Meyer
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)
Patel Nimisha; Prof. Sheetal Mehta
Data mining is a process that discover the knowledge or hidden pattern from large databases. In the large database using association rules throughfind meaningful relationship between large amount of itemsets and this itemset through create frequent itemset. Association rule mining is the most paramount application in the large database. Most of the Association rule mining algorithm are improved and derivative. The traditional algorithms scan databases many times so, time complexity and space ...
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...
A contract to the value of some DM 320 million (135 million US dollars) has been awarded to the 'Bukit Asam Consortium', consisting of O and K Orenstein and Koppel AG, PHB Weserhuette AG (PWH) and Marubeni Corporation, by the Indonesian Mining Company P.T. (Persero), Tambang Batubara Bukit Asam. The contract involves the manufacture, delivery, set-up and commissioning of open-pit mining equipment for the Air Laya Lignite mine, located in southern Sumatra.
Castiblanco Calderón, Ellizabeth; Leal, Sandra Milena
This article describes the basic concepts for the use of Webmining, within which are techniques (Rules of Association, sequential patterns, sorting and clustering) and areas (web content mining, mining structure and mining use Web site) of greater use for the information discovery. It also aims to expose the importance of the use of this technique within units of information, bearing in mind that this works from the users' needs, essential to the operation.
Berry, Michael W
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
... 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...
... 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...
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
Aggarwal, Charu C
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
Koh, Hian Chye; Tan, Gerald
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
Kovalerchuk, Boris; Vityaev, Evgenii
This chapter describes Data Mining in finance by discussing financial tasks, specifics of methodologies and techniques in this Data Mining area. It includes time dependence, data selection, forecast horizon, measures of success, quality of patterns, hypothesis evaluation, problem ID, method profile, attribute-based and relational methodologies. The second part of the chapter discusses Data Mining models and practice in finance. It covers use of neural networks in portfolio management, design of interpretable trading rules and discovering money laundering schemes using decision rules and relational Data Mining methodology.
Daniels, David J.; Curtis, Paul; Amin, Rajan; Dittmer, Jon
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.
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.
Bernstein, Abraham; Gall, Harald; Zeller, Andreas
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.
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...
This study has as main objective carry out a geological mapping as well as the structural analysis , in 1.5.000 scale in the zone where the gold benefit plant of San Jose mining company is settled (Mahoma Mining). From this study has been marked many drillings.
Dr. S Vidyavathi
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.
Laurentian University Library has developed an on-line Mining Environment Database. The database provides references and abstracts to journal articles, books and government reports dealing with acid mine drainage, land reclamation, and abandoned mines. The database, created in 1988, now contains over 7,900 citations on reclamation planning, acid mine drainage, sulfide-based tailings, soil and water contamination, mine closure techniques, and other related topics dealing with mining environment studies. Subject coverage is international and focuses on hard rock mining topics. A stand-alone product for IBM-compatible computers is now available. The database is mastered on four high-density diskettes, and special search software is provided to allow full keyword searching of the database citations. Laurentian has acquired copies of all the materials cited in the database. Access to the on-line database is free of charge, with the exception of long-distance costs, and copy, delivery, or Fax charges for requested material. Suggestions for materials not found in the database and donations of pertinent research information from individuals, corporations, institutions, and government departments are welcomed. Private consulting reports (with the appropriate client approval) are especially welcomed, because this category of research literature cannot be purchased or obtained using normal methods, and is often discarded after a mine property is closed. The process of building a comprehensive research database requires a continuing partnership of information specialists and research users to develop a world class research literature database on mining environment and reclamation
Wibonele, Kasanda J.; Zhang, Yanqing
A web data mining system using granular computing and ASP programming is proposed. This is a web based application, which allows web users to submit survey data for many different companies. This survey is a collection of questions that will help these companies develop and improve their business and customer service with their clients by analyzing survey data. This web application allows users to submit data anywhere. All the survey data is collected into a database for further analysis. An administrator of this web application can login to the system and view all the data submitted. This web application resides on a web server, and the database resides on the MS SQL server.
Huffman, Lester H.; Knoke, Gerald S.
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.
The functions of the Office of the Supervasing Scientists, is a key element in the arrangements put in place by the Australian Government to ensure that the environment is protected from the effects of uranium mining operations in the Northern Territory, are briefly outlined. Its primary charter is to oversee and assist in the development of environment protection arrangements, to provide independent advice to the Federal Government on their adequacy and to carry out specific mission -oriented research. Selected research projects are described and include aquatic biology, environmental radioactivity, environmental modelling, environmental chemistry, plant ecology and geomorphology
Mendes, Armando B.
"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...
Didier, Christophe; Leloup, Jacques
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 context that leads to t...
Song, Zhen; Schunnesson, Håkan; Rinne, Mikael; Sturgul, John
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 har...
Maragatham G; Lakshmi M.
Recently more encroachment has emerged in the field of data mining. One of the hottest topic in this area is mining for hidden patterns from the existing massive collection of databases. The knowledge obtained from these databases are used for different applications like super market sales-prediction, fraud detection etc. In thisarticle, the various advancements in data mining using the association rule mining is discussed. The role of Association rules in temporal mining, utility mining, sta...
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...
Chinmay R. Deshmukh; R.R. Shelke
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 We...
Pechenizkiy, Mykola; Trcka, Nikola; Vasilyeva, Ekaterina; van der Aalst, Wil; De Bra, Paul
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…
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.
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…
Rinaldi, F; Schneider, G; Kaljurand, K.; Clematide, S
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.
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
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.
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
A solution mining process which may be used for uranium, thorium, vanadium, copper, nickel, molybdenum, rhenium, and selenium is claimed. During a first injection-and-production phase of between 6 months and 5 years, a leaching solution is injected through at least one well into the formation to solubilize the mineral values and form a pregnant liquor. This liquor is recovered through another well. The leaching solution contains sulfuric acid, nitric acid, hydrochloric acid, carbonic acid, an alkali metal carbonate, an alkali metal bicarbonate, ammonium carbonate or ammonium bicarbonate. Subsequently during a first production-only phase of between about 2 weeks and one year, injection of the leaching solution is suspended but pregnant liquor is still recovered. This stage is followed by a second injection-and-production phase of between 6 months and 5 years and a second production-only phase. The mineral values are separated from the pregnant liquor to form a barren liquor. The leaching agent is introduced into this liquor, and the solution is recycled. In a second claim for the solution mining of uranium, dilute carbonic acid is used as the leaching solution. The solution has a pH less than 7 and a bicarbonate ion concentration between about 380 ppm and 1000 ppm. The injection-and-production phase lasts between one and two years and the production only phase takes between one and four months. Carbon dioxide is introduced into the barren liquor to form a dilute carbonic acid solution and the solution is recycled
Since the onset of the first ''oil shock'' in 1974, France has pursued a policy of steadily increasing energy independence based on nuclear power for generation of electricity. In 1973, nuclear reactors supplied only 8% of France's electrical power. A strong development effort lifted the nuclear share to 23% in 1980, to 66% in 1985, and the plan is to raise the total to 75% by 1990. In 1976, Cogema (Compagnie Generale des Matieres Nucleaires) was organized from the production division of France's Commissariat a l'Energie Atomique (CEA) to handle fuel supply and spent fuel reprocessing for the expanding industry (see subsequent article on Cogema). In parallel with growth of the French nuclear power, Cogema has become a world leader in all aspects of the fuel cycle, providing services not only domestically but internationally as well. As a uranium mining company, Cogema has steadily developed domestic and foreign sources of supply, and over the years it has maintained the world's strongest uranium exploration effort throughout the ups and downs of the market. As a result, the company has become the world's leading uranium supplier, with about 20% of total production contributed either by its domestic mining divisions or overseas subsidiaries
Koedinger, Kenneth R; D'Mello, Sidney; McLaughlin, Elizabeth A; Pardos, Zachary A; Rosé, Carolyn P
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. PMID:26263424
Shaik Irfan Babu; Dr. M.V.P. Chandra Sekhara Rao; G.Nagi Reddy
In this review paper we want to discuss Research Methodology on Web mining for Malware detection. The proposed web mining methodology uses web structure mining, using graph mining for malware detection with a case study proposed on cloud mining.
Mueller, Robert P.
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.
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
Aliyu, Abubakar Sadiq; Mousseau, Timothy Alexander; Ramli, Ahmad Termizi; Bununu, Yakubu Aliyu
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. PMID:26093469
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.
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)
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
Srivastava, Ashok; McIntosh, Dawn; Castle, Pat; Pontikakis, Manos; Diev, Vesselin; Zane-Ulman, Brett; Turkov, Eugene; Akella, Ram; Xu, Zuobing; Kumaresan, Sakthi Preethi
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).
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.)
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.
Lee, U.J.; Kim, J.A.; Kim, S.S. [Coal Industry Promotion Board, Seoul (Korea, Republic of); Kim, W.K.; Yoon, S.H.; Choi, J.K. [Ssangyong Information and Communication Corp., Seoul (Korea, Republic of)
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)
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)
Tilton, James C.; Marchisio, Giovanni; Koperski, Krzysztof; Datcu, Mihai
The Hierarchical Segmentation (HSEG) algorithm is an approach for producing high quality, hierarchically related image segmentations. The VisiMine image information mining system utilizes clustering and segmentation algorithms for reducing visual information in multispectral images to a manageable size. The project discussed herein seeks to enhance the VisiMine system through incorporating hierarchical segmentations from HSEG into the VisiMine system.
Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; de Castro, Carlos
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…
... 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...
Garcia, Enrique; Romero, Cristobal; Ventura, Sebastian; Gea, Miguel; de Castro, Carlos
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…
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.
... 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...
... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Mine map. 75.1200 Section 75.1200 Mineral... SAFETY STANDARDS-UNDERGROUND COAL MINES Maps § 75.1200 Mine map. The operator of a coal mine shall have... to minimize the danger of destruction by fire or other hazard, an accurate and up-to-date map of...
Hardygora, M.; Paszkowska, G.; Sikora, M. (eds.) [Wroclaw University of Technology, Wroclaw (Poland)
Papers are presented under the following subject headings: open pit and underground mine planning, modelling and design; geomechanics; mining and processing methods; design, monitoring and maintenance of mine equipment; simulation, optimization and control of technological processes; management, mine economics and financial analysis; and health, safety and environmental protection.
Hansen, H. K.; Rojo, A.; Ottosen, L. M.
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)
Bassan, Amarpreet Singh
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.
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)
彭世济; 张达贤; 习永峰; 卢明银; 孙洪泉
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.
Kannan, Sridar P.; Van Der Veen, Peter
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...
... 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....
Full Text Available This paper is focused to characterize the ochre precipitates and the mine water effluents of some old mine adits and settling pits after mining of polymetallic ores in Slovakia. It was shown that the mine water effluents from two different types of deposits (adits; settling pits have similar composition and represent slightly acidic sulphate water (pH in range 5.60-6.05, sulphate concentration from 1160 to 1905 g.dm-3. The ochreous precipitates were characterized by methods of X-ray diffraction analysis (XRD, scanning electron microscopy (SEM and B.E.T. method for measuring the specific surface area and porosity. The dominant phases were ferrihydrite with goethite or goethite with lepidocrocide.
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.
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.
This paper, Chapter 7.2.3 of the 'surface mining' reference book, gives an example of how the cost of mining a ton of coal is calculated. Conditions set down are for a coal tract of 50.6 ha in West Virginia, USA to be mined by the contour surface method, the seam being 101.6cm thick. Elements of the costing are: permitting and bonding costs, engineering and construction costs, equipment and other operating expenses (such as hauling and wheeling), royalties, direct taxes and fees, costs of revegetation, and employment costs (payroll and medical expenses). 5 tabs
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.
Han, Jiawei; Pei, Jian
The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin
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.
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
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)
Adeel Shiraz Hashmi
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.
Klose, W. (TAKRAF-IFF GmbH, Leipzig (Germany, F.R.))
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.
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.
Yu, Philip S; Faloutsos, Christos
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
Fischer, Kasper D.; Wehling-Benatelli, Sebastian; Erstling, Stefanie; Brüstle, Andrea; Wlecklik, Dennis
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.
Dr. S Vidyavathi; Vuda Sreenivasa Rao
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 dist...
Is presented from the point of view of Geosciences, an approach torelations between hydrogeology and mining activities, including those of traditional non - metal deposits of ores and rocks application (underground or open pit), the so-called ''modern mining'' (pickles) and hydrocarbons. Within the traditional mining, hydrogeology participates decisively several aspects, both those related to the feasibility of the projects, water supply for the stage of exploration and exploitation, mineraloductos ácueosand mine operations, such as environmental protection of water resources. In the ''modern mining'' groundwater acquires true character mena when it comes to the use of natural brines, and subject when they are generated by injecting water into an aquifer medium. In the case of hydrocarbons, the spectrum is broader participation at the stage of exploration and exploitation, where the hydrogeology is critical to providing water to camps and processes as well as operations secondary recovery, consumers strongly. From the perspective of environmental protection, are the main protagonists of groundwater the impacts of production, but also the phases are transportation, processing and marketing. They are used in the presentation of case examples of Argentina and Chile, some reflections on the need for an appropriate regulatory framework, especially addressed to Uruguay, and information to protect the population activity production of an unfair detriment, when mining is done responsibly
Freitas, Alex A
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 ...
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
JIN Zhuo; ZHANG Zi-bin
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.
JIN Zhuo; ZHANG Zi-bin
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.