Relevant bibliographies by topics / Mining

Academic literature on the topic 'Mining'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Mining"

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Seely Brown, John. "Minding and Mining the Periphery." Long Range Planning 37, no. 2 (April 2004): 143–51. http://dx.doi.org/10.1016/j.lrp.2004.01.001.

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Mudrooroo. "Mining the Earth without Minding the Earth." World Literature Today 67, no. 3 (1993): 569. http://dx.doi.org/10.2307/40149371.

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Nagasivaanjaneya Reddy R, Sunkara. "Web Mining." International Journal of Science and Research (IJSR) 12, no. 3 (March 5, 2023): 900–903. http://dx.doi.org/10.21275/sr23303173846.

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Wang, Pu. "Research on the Mechanism of Web Data Mining in Electronic Commerce Application." Applied Mechanics and Materials 687-691 (November 2014): 3003–6. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3003.

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At present, the growth of the Internet has brought us a vast amount of information that we can hardly deal with. To solve the flood of information, various data mining systems have been created to assist and augment this natural social process. Data minig recommender systems have been developed to automate the recommendation process. Data mining recommender systems can be found at many electronic commerce applications. In this paper, a recommendation mechanism of web data mining in electronic commerce application is given. Then, presents the workflow of the web data mining in electronic commcer. Lastly, the usage of the tools of web data mining is described.
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SAWADA, Kenji. "Mining Information and Mining Policy." Shigen-to-Sozai 120, no. 9 (2004): 532–34. http://dx.doi.org/10.2473/shigentosozai.120.532.

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Jelen, Jakub. "Mining Heritage and Mining Tourism." Czech Journal of Tourism 7, no. 1 (June 1, 2018): 93–105. http://dx.doi.org/10.1515/cjot-2018-0005.

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Abstract The mining industry leaves behind a large number of tangible or intangible remains. A part of them can be used by different actors as a mining heritage. Specific cultural or social values and meanings, which remind of the importance of mining in the past and today, are represented through this mining heritage. To preserve them, the heritage must be passed to future generations. One of the ways is mining tourism. However, the relation between the mining heritage and tourism is not simple as the complex mining heritage has many specific features that differ from the traditional tourist attractions and conceal many pitfalls. The aspects of authenticity or approaches to heritage interpretation are also important.
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Murray, L. "The mining pioneers [mining - Finland]." Engineering & Technology 17, no. 10 (November 1, 2022): 60–63. http://dx.doi.org/10.1049/et.2022.1005.

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Stoffel, Kilian. "Web + Data Mining = Web Mining." HMD Praxis der Wirtschaftsinformatik 46, no. 4 (August 2009): 6–20. http://dx.doi.org/10.1007/bf03340377.

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Choi, Seung Joo, and Jong-bae Kim. "Comparison of Mining Capability between ASIC Mining and GPU Mining." Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology 7, no. 5 (May 31, 2017): 829–36. http://dx.doi.org/10.14257/ajmahs.2017.05.03.

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M., Inbavalli. "An Intelligent Agent based Mining Techniques for Distributed Data Mining." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 610–17. http://dx.doi.org/10.5373/jardcs/v12sp4/20201527.

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Dissertations / Theses on the topic "Mining"

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Carlsson, Emil. "Mining Git Repositories : An introduction to repository mining." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-27742.

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When performing an analysis of the evolution of software quality and software metrics,there is a need to get access to as many versions of the source code as possible. There isa lack of research on how data or source code can be extracted from the source controlmanagement system Git. This thesis explores different possibilities to resolve thisproblem. Lately, there has been a boom in usage of the version control system Git. Githubalone hosts about 6,100,000 projects. Some well known projects and organizations thatuse Git are Linux, WordPress, and Facebook. Even with these figures and clients, thereare very few tools able to perform data extraction from Git repositories. A pre-studyshowed that there is a lack of standardization on how to share mining results, and themethods used to obtain them. There are several tools available for older version control systems, such as concurrentversions system (CVS), but few for Git. The examined repository mining applicationsfor Git are either poorly documented; or were built to be very purpose-specific to theproject for which they were designed. This thesis compiles a list of general issues encountered when using repositorymining as a tool for data gathering. A selection of existing repository mining tools wereevaluated towards a set of prerequisite criteria. The end result of this evaluation is thecreation of a new repository mining tool called Doris. This tool also includes a smallcode metrics analysis library to show how it can be extended.
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Schieber, Andreas, and Paul Kruse. "Idea Mining." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-140499.

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Motiviert durch den Erfolg des Web 2.0 und Social Media in vielen Bereichen des öffentlichen Lebens und der damit verbundenen Open-Innovation-Bewegung, die Kunden aktiv in den Innovationsprozess einbezieht, schlägt dieser Beitrag eine Integration von Wissensmanagement und Text Mining zur Verbesserung dieses Innovationsprozesses vor. Durch den beschriebenen Ansatz werden Kunden nicht nur motiviert, ihre Ideen und Bedürfnisse auf webbasierten Kommunikationsplattformen preiszugeben, sondern die entstehenden, textbasierten Daten können automatisiert ausgewertet und zur zielgerichteten und zeitnahen Weiterentwicklung der Produkte eingesetzt werden. Anhand zweier Anwendungsszenarien aus der Praxis werden das resultierende Prozessmodell dargestellt und dessen Potenziale veranschaulicht.
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Mrázek, Michal. "Data mining." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400441.

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The aim of this master’s thesis is analysis of the multidimensional data. Three dimensionality reduction algorithms are introduced. It is shown how to manipulate with text documents using basic methods of natural language processing. The goal of the practical part of the thesis is to process real-world data from the internet forum. Posted messages are transformed to the numerical representation, then to two-dimensional space and visualized. Later on, topics of the messages are discovered. In the last part, a few selected algorithms are compared.
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Zúñiga, Larrondo Diego, and Fuentealba Fernando Ruiz. "Provetec mining." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/137210.

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Tesis para optar al grado de Magíster en Administración
Diego Zúñiga Larrondo [Parte I no autoriza acceso a texto completo de su documento ], Fernando Ruiz Fuentealba [Parte II no envía autorización para acceso a texto completo de su documento]
En Chile la industria minera es uno de los principales motores de la economía nacional, teniendo un gran nivel de consumidores de bienes y servicios, de igual forma su solvencia, estabilidad e inversión, lo resaltan como un mercado sumamente atractivo para proveedores de diferentes sectores. De igual forma las relaciones laborales, seguridad ocupacional y altos estándares de calidad, permiten metodologías en que los algunos proveedores puedan visualizar y resolver los requerimientos de la industria, obteniendo además márgenes positivos en los contratos adjudicados, sin perjuicio de lo anterior existen barreras de entradas con fuertes restricciones de ingresos limitando el acceso a la competencia de empresas sin dichos niveles. Cabe desatacar que dentro de un proyecto minero, la etapa de construcción involucra altos niveles de inversión en obras, generando una fuerte demanda a la industria de la construcción, siendo esta una oportunidad de desarrollo económico y productivo. En general los megos proyectos - mineros cuentan con características similares, como por ejemplo:  Sondaje  Movimiento de Tierra Masivo  Obras de Ingeniera  Obras de Infraestructura  Obras sanitarias Según Cochilco1, sobre las bases de los antecedentes de cada proyecto de fuentes públicas, nuestros país cuenta con una cartera de proyectos compuesta por 53 proyectos mayores de 90 millones de dólares de inversión, que suman un requerimiento de inversión de 104,8 mil millones de dólares, de los cuales se estima que el 16% ya ha sido gastado en proyectos antes del 2014. Y el 47% se desembolsaría entre 2014 y 2018, con un promedio anual cercano a los 10 mil millones de dólares. El restante 37% lo sería del 2019 en adelante. PROVETEC considera ampliar su core business creando la división prefabricados ofreciendo una solución integral en los requerimientos de obras civiles, participando en las diferentes actividades de la ruta crítica del negocio.
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Östlund, Jacob, and Kristian Kierkegaard. "Uranium Mining Industry : -A valuation of uranium mining companies." Thesis, Jönköping University, JIBS, Accounting and Finance, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-927.

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Background:

Over the last three years uranium prices have soard from US $14 per pound (lb) to the current price of US $120/lb and this rapid incline of the commodity have created a boom within the uranium prospecting and min-ing industry. There are currently 435 nuclear reactors all over the world and these reactors demand 180 millions of pounds of uranium each year to run at full production. Currently the uranium mining industry only sup-plies 110 million pounds of the demanded quantity. The remaining 70 mil-lion pounds are coming from secondary sources such as decommissioned nuclear warheads and other sources. Market estimations say that the sec-ondary sources will only cover the shortage up until around 2012 then primary sources have to supply almost the whole quantity demanded. These factors imply that some sort of analysis model for uranium mining companies would be needed.

Purpose:

The purpose of this report is to valuate three companies within the ura-nium industry and to establish if the current market value is coherent with the fundamental value of these companies. The authors will propose a valuation model that could be used when valuating companies within the uranium industry.

Method:

A qualitative method has been used in order to value three companies within the uranium mining business that are fairly large players on the market. The valuation of these companies is based upon a discounted cash flow analysis, a relative PV valuation and relative valuation. The compa-nies included in the report are corporations that are quoted at Toronto Stock Exchange and they have started mining uranium. Data have been collected through annual reports and the companies Internet pages. Other secondary information such as valuation theories has been collected from academic search engines and books on the subjects.

Conclusions:

The current market values of uranium mining companies are not coherent with the actual fundamental values according to the authors. Both funda-mental and a comparative approach could be used when valuing these companies and the most important part in the valuation is to try and fore-cast the commodity price and then to estimate the companies possible mining reserve/extractable resources.

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Vithal, Kadam Omkar. "Novel applications of Association Rule Mining- Data Stream Mining." AUT University, 2009. http://hdl.handle.net/10292/826.

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From the advent of association rule mining, it has become one of the most researched areas of data exploration schemes. In recent years, implementing association rule mining methods in extracting rules from a continuous flow of voluminous data, known as Data Stream has generated immense interest due to its emerging applications such as network-traffic analysis, sensor-network data analysis. For such typical kinds of application domains, the facility to process such enormous amount of stream data in a single pass is critical.
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Martínez, Aponte Humberto. "Obligations Regime of the Mining Concession (Mining rights system)." Derecho & Sociedad, 2015. http://repositorio.pucp.edu.pe/index/handle/123456789/117509.

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Mining concessions are subject to the fulfillment of liabilities by their owners based on ground for revocation, known as «expiration», as part of mining rights systems. The recent evolution of these liabilities and their focus as part of the conditions offered by the country for investment are analyzed by the author. To do this, the author conduct a review about the changes taken place in 1991 and 2008 mainly, as well as provides the elements to analyze the appropriateness of modifications or its flexibility. The tables used in the explanation constitutes a contribution, which were used by the author in conferences and due diligence for mining projects, as well as the consideration of both elements in the analysis of doctrine and real application of these concepts under the system of Peru.
Las concesiones mineras están sujetas al cumplimiento de obligaciones por sus titulares, bajo causal de revocación, conocida como la «caducidad», enmarcadas en sistemas de amparo minero. La evolución reciente de estas obligaciones, así como enfocarlas como parte de las condiciones que ofrece el país para la inversión, son analizados por el autor. Para ello, realiza una revisión de las modificaciones ocurridas en 1991 y 2008 principalmente, así también proporciona los elementos para reflexionar sobre la conveniencia de nuevas modificaciones o de su flexibilización. Constituyen un aporte los cuadros empleados en la explicación, utilizados por el autor tanto en conferencias, como en due diligence en proyectos mineros; así como considerar en el análisis tanto elementos de doctrina, como de aplicación real deestos conceptos en el régimen del Perú.
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Madalane, Thembi. "The obligation to rehabilitate mining areas : post mining activities." Thesis, University of Limpopo (Turfloop Campus), 2012. http://hdl.handle.net/10386/905.

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Thesis (LLM) -- University of Limpopo, 2012
The study focuses on rehabilitation, since absence of proper rehabilitation process result in indelible damage to the environment. South Africa, like many other countries, is faced with many environmental problems caused by mining. These problems are particularly caused by, inter alia, abandoned mining areas without rehabilitation, inadequate environmental impact assessment after closure, inadequate financial provision for rehabilitation, and lack of monitoring and aftercare system after post mine closure. The study found that many Companies ignore laws governing prospecting, extraction and rehabilitation. The main purpose of this research is to investigate and recommend guidelines in the rehabilitation process so as to instil respect for the environment. The study therefore recommended strict legislation relating to environmental protection against mining.
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Mahamaneerat, Wannapa Kay Shyu Chi-Ren. "Domain-concept mining an efficient on-demand data mining approach /." Diss., Columbia, Mo. : University of Missouri--Columbia, 2008. http://hdl.handle.net/10355/7195.

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Title from PDF of title page (University of Missouri--Columbia, viewed on February 24, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Chi-Ren Shyu. Vita. Includes bibliographical references.
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Bjørkelund, Eivind, and Thomas Hoberg Burnett. "Temporal Opinion Mining." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18845.

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This project explores the possibilities in detecting changes in opinion over time. For this purpose, different techniques and algorithms in opinion mining have been studied and used as a theoretic foundation when developing strategies towards detecting changes in opinions.Different approaches to a system that detects and visualises changes in opinions have been proposed. These approaches include using machine learning techniques like the naiveBayes algorithm and opinion mining techniques based on SentiWordNet. Additionally,feature extraction techniques and the impact of burst detection have been studied.During this project, experiments have been carried out in order to test some of the techniques and algorithms. A data set containing hotel reviews and a prototype have beenbuilt for this purpose, allowing easy support for testing and validation. Results found high accuracy in opinion mining with the lexicon SentiWordNet, and the prototype can detect hotel features and possible reasons for changes in opinion. It can also show "good" and "bad" geographical areas based on hotel reviews.For commercial use, the prototype can help analyse the massive amount of hotel informa-tion published each day by customers, and can help hotel managers analyse their products. It can also be used as a more advanced hotel search engine where users can find extra information in a map user interface.
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Books on the topic "Mining"

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Cruz, Ismael. Minding mining!: Lessons from the Philippines. Cubao, Quezon City, Philippines: Philippine International Forum, 1999.

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Mining. Calgary: Weigl Educational Publishers, 2008.

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ill, Morris Tony, ed. Mining. Austin, Tex: Raintree Steck-Vaughn, 1992.

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Community, Southern African Development. Mining. [Gaborone]: Southern African Development Community, 1994.

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International Water Tribunal (2nd 1992 Amsterdam). Mining. Utrecht: International Books, 1994.

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Ann, Love, and Cupples Pat ill, eds. Mining. Toronto: Kids Can Press, 1997.

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Drake, Jane. Mining. Toronto, ON: Kids Can Press, 1997.

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(Firm), Pinheiro Neto, ed. Mining. [Yonkers, N.Y.]: Juris Pub., 2000.

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Matthews, Sheelagh. Mining. Calgary: Weigl Educational Publishers, 2007.

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A, Zanasi, Ebecken N. F. F, and Brebbia C. A, eds. Data mining V: Data mining, text mining, and their business applications. Southampton: WIT, 2004.

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Book chapters on the topic "Mining"

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Edwards, Elsy. "Mining." In Issues & Arguments, 244–46. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-11090-2_41.

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Donnelly, Laurance. "Mining." In Selective Neck Dissection for Oral Cancer, 1–20. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-12127-7_201-1.

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Zarach, Stephanie. "Mining." In Debrett’s Bibliography of Business History, 167–70. London: Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08984-0_36.

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Kaiser, Carolin. "Mining." In Business Intelligence 2.0, 13–68. Wiesbaden: Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-3990-6_2.

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Cowie, Robert L. "Mining." In Occupational and Environmental Lung Diseases, 177–89. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470710425.ch13.

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Quinlan, Michael. "Mining." In Contesting Inequality and Worker Mobilisation, 128–53. New York : Routledge, 2020. | Series: Routledge studies in employment and work relations in context: Routledge, 2020. http://dx.doi.org/10.4324/9781003018971-6.

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Rosenberg, Eureta. "Mining." In Green Skills Research in South Africa, 34–50. New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9780429279362-3.

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Edmundson, William. "Mining." In A History of the British Presence in Chile, 147–68. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1057/9780230101210_10.

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Huq, M. M. "Mining." In The Economy of Ghana, 153–63. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-19749-1_8.

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Zarach, Stephanie. "Mining." In British Business History, 197–202. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-13185-3_35.

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Conference papers on the topic "Mining"

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Ko, Andrew J. "Mining the mind, minding the mine." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3196398.3196477.

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Ko, Andrew J. "Mining the mind, minding the mine." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3196321.3196324.

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Shen, Baotang. "Highwall Mining Stability." In Taishan Academic Forum - Project on Mine Disaster Prevention and Control. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/mining-14.2014.6.

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Wang, Chunqiu, Wenshuai Li, Shitan Gu, Chuanle Ma, and Zhimin Xiao. "Influence of Mining and Retaining Parameters on Evolution of Hazard Rockburst in Strip-pillar Mining." In Taishan Academic Forum - Project on Mine Disaster Prevention and Control. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/mining-14.2014.12.

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Kumar, Deepika Saxena, and Dr Raj Thaneeghaivel V. "USING AND INVESTIGATING BIG DATA MINING IN CLINICAL MEDICINE." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.69.

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To examine big data mining ideas,technology, and applications in clinical medicine. PubMed and the Chinese Hospital Knowledge Database were used to find English and Chinese publications from 1975 to 2015 that discussed big datamining ideas, technologies,and practical applications in clinical medicine. Selection of Studies: original research on the theory and technology of big data mining and its uses in the medical industry. Fuzzy theory, rough set theory, cloud theory, Dempster-Shafer theory, artificial neural network, genetic algorithm, inductive learning theory, Bayesian network, decision tree, pattern recognition, high-performance computing, and statistical analysis are some of the fundamental theories and technologies of big data mining that were covered in this review. Big data mining's use in clinical medicine was examined in the Big data mining has the potential to play an important role in clinical medicine.
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Shi, Zhengkang. "Green Mining Technology in Mining." In 2015 International conference on Applied Science and Engineering Innovation. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/asei-15.2015.271.

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Peñafiel, Myriam, Stefanie Vásquez, Diego Vásquez, Juan Zaldumbide, and Sergio Luján-Mora. "Data Mining and Opinion Mining." In the 2018 International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3274250.3274263.

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de Jong, Robin, Sam Leewis, and Matthijs Berkhout. "Decision Mining versus Process Mining: a Comparison of Mining Methods." In ICSEB 2021: 2021 5th International Conference on Software and e-Business. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3507485.3507490.

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Chang, Xikun, Rongfa Wang, and Jinchen Zhang. "Characteristic Analysis of Surface Subsidence in Deep Mining." In Taishan Academic Forum - Project on Mine Disaster Prevention and Control. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/mining-14.2014.10.

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Yin, Liming, Nan Shi, and Juntao Chen. "Research of Mining Depth Influence on Floor Coupled." In Taishan Academic Forum - Project on Mine Disaster Prevention and Control. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/mining-14.2014.35.

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Reports on the topic "Mining"

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Singhal, R. K., H. Sahay, and S. Ghosh. Continuous mining systems for oil sands mining. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304974.

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Lee, K., H. Kargupta, B. G. Stafford, K. L. Buescher, and B. Ravindran. Data mining. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/334314.

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Parsons, M. Metal mining. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/311153.

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Singhal, R. K. Mining planning and equipment selection in coal mining. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304824.

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Singhal, R. K., and T. S. Golosinski. Continuous mining systems for surface mining of coal. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304984.

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Jaeckel, Aline, Quentin Hanich, Harriet Harden-Davies, Judith van Leeuwen, Holly Niner, Katherine Seto, and Michelle Voyer. Mining the sea means mining public support too. Edited by Tasha Wibawa. Monash University, July 2023. http://dx.doi.org/10.54377/edf3-06e1.

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Leith, W. Adushkin, V., and A. Spivak. Large mining blasts from the Kursk Mining Region, Russia. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/632818.

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Stewart, D. B. Surface mining laboratory. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304902.

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9

Hasegawa, H. S. Mining induced seismicity. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1988. http://dx.doi.org/10.4095/122734.

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10

Kramer, Mitchell. Customer Data Mining. Boston, MA: Patricia Seybold Group, May 2004. http://dx.doi.org/10.1571/psgp5-27-04cc.

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