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Commercial data mining : processing, analysis and modeling for predictive analytics projects /

By Nettleton, David,. Amsterdam : Elsevier, 2014 . 288 p. 9780124166028 (paperback)

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Data mining : concepts and techniques /

By Han, Jiawei. Burlington, MA : Elsevier, 2012 . xxxii, 703 p. : 9780123814791

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Data mining applications with R /

By Zhao, Yanchang,. Boston : Elsevier, 2014 . xxi, 470 pages : 9780124115118 (hardback)

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Data mining mobile devices/

By Mena, Jesus. Boca Raton : CRC Press, Taylor & Francis Group, 2013 . 309: , "Data Mining Mobile Devices, also known as "Reality Mining," defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening behavior analysis to new methods of empirical stochastic modeling. The book explains how the combination of data mining and machine learning makes this possible, and details how to integrate the various technologies"-- 9781466555952

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Foundations of predictive analytics/

By Wu, James. Boca Raton, FL : CRC Press, 2012 . 317p , "Preface this text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of practicing the art of applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. We have applied these techniques to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing. This monograph provides the necessary information for understanding the common techniques for exploratory data analysis and modeling. It also explains the details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. It is the authors' opinion that in order to apply di erent techniques to di erent problems appropriately, it is essential to understand the assumptions and theory behind each technique. It is recognized that this work is far from a complete treatise on the subject. Many excellent additional texts exist on the popular subjects and it was not a goal for this present text to be a complete compilation. Rather this text contains various discussions on many practical subjects that are frequently missing from other texts, as well as details on some subjects that are not often or easily found. Thus this text makes an excellent supplemental and referential resource for the practitioners of these subjects"--Provided by publisher 9781439869468

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Mining User Generated Content

By Moens, Marie-Francine.. Boca Raton : Taylor & Francis, 2014 . 405 p. , Please contact to library, request User & Password for open. 9781466557413

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Rapid miner : data mining use cases and business analytics applications /

Boca Raton, Florida : CRC Press, 2014 . liv, 465 p. : 9781482205497

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Sentiment analysis and opinion mining /

By Liu, Bing. USA : Morgan & claypool pub, 2012 . 165 p. : 9781608458844

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