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CRC - HIGHWALL MINING - HIGHWALL MINING Organization: CRC
Date: 2017-06-29
Description: This comprehensive technical book on highwall mining covers theory and practice coupled with practical examples and design aspects.
CRC - KE31684 - SOCIAL BIG DATA MINING Organization: CRC
Date: 2015-03-25
Description: This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability.
CRC - CE6847 - BIOLOGICAL DATA MINING Organization: CRC
Date: 2009-09-01
Description: Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research.
CRC - KE13279 - PRACTICAL DATA MINING Organization: CRC
Date: 2011-12-19
Description: What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques?
PACKT - R DATA MINING - R DATA MINING Organization: PACKT
Date: 2017-11-29
Description: Who This Book Is For If you are a budding data scientist, or a data analyst with a basic knowledge of R, and want to get into the intricacies of data mining in a practical manner, this is the book for you. No previous experience of data mining is required.
CRC - KE11612 - MUSIC DATA MINING Organization: CRC
Date: 2011-07-12
Description: Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.
CRC - CE9765 - TEMPORAL DATA MINING Organization: CRC
Date: 2010-03-10
Description: From basic data mining concepts to state-of-the-art advances, Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields.
WILEY - MINING GRAPH DATA - MINING GRAPH DATA Organization: WILEY
Date: 2007-01-01
Description: Discover the latest data mining techniques for analyzing graph data This text takes a focused and comprehensive look at an area of data mining that is quickly rising to the forefront of the field: mining data that is represented as a graph.
CRC - KE22994 - APPLIED DATA MINING Organization: CRC
Date: 2013-06-17
Description: 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.
CRC - KE20372 - MINING USER GENERATED CONTENT Organization: CRC
Date: 2014-01-28
Description: Covering the mining of UGC of different medium types, the second part discusses the social annotation of UGC, social network graph construction and community mining, mining of UGC to assist in music retrieval, and the popular but difficult topic of UGC sentiment analysis.
CRC - KE24983 - MINING OF MINERAL DEPOSITS Organization: CRC
Date: 2013-08-22
Description: Widening the range of mining-geological conditions under which drivage and maintenance of mining activities are carried out, requires application of new constructive decisions.
CRC - MINING MULTIMEDIA DOCUMEN - MINING MULTIMEDIA DOCUMENTS Organization: CRC
Date: 2017-04-21
Description: Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features.
TSE - TS 10042 - UNDERGROUND COAL MINING - COMMUNICATIONS Organization: TSE
Date: 1992-03-24
Description: This standard specifies the communication systems in undergroundcoal mining. It does not cover the communication systems in otherunderground mines and open-pits.
CRC - KE20282 - DATA MINING MOBILE DEVICES Organization: CRC
Date: 2016-04-19
Description: 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.
JSA - JIS M SET - MINING - TO PURCHASE CALL 1-800-854-7179 USA/CANADA OR 303-397-7956 WORLDWIDE Organization: JSA
Date: 2016-01-01
CRC - KE21433 - GEOMECHANICAL PROCESSES DURING UNDERGROUND MINING : SCHOOL OF UNDERGROUND MINING 2012 Organization: CRC
Date: 2012-09-03
Description: This volume deals with economic aspects of mining companies’ development strategies,  various mineral deposits development techniques, imitational modeling of mine workings with rock massif, methane extraction technologies during coal mining, geomechanical processes during plow mining, mining transport importance for mineral extraction, massif strain-stress state management using non-explosive destructing materials, and surface mining's detrimental influence on the environment.
TSE - TS 2694 - MINING TERMS-USED IN VENTILATION Organization: TSE
Date: 1977-04-21
Description: This standard defines the mining terms used in ventilation. Bu standard, havalandirmada kullanilan madencilik terimlerinintanimlarini kapsar.
TSE - TS 2695 - MINING TERMS-USED IN DRAINAGE Organization: TSE
Date: 1977-04-21
Description: This standard defines the mining terms used in drainage. Bu standard, drenajda kullanilan madencilik terimlerinintanimlarini kapsar.
TSE - TS 2696 - MINING TERMS USED IN TRANSPORT Organization: TSE
Date: 1977-04-21
Description: This standard defines the mining terms used in transport. Bu standard, tasimada kullanilan madencilik terimlerinintanimlarini kapsar.
CRC - CE5867 - NEXT GENERATION OF DATA MINING Organization: CRC
Date: 2008-12-24
Description: Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.

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