Data Mining for Business Analytics Concepts, Techniques, and Applications with Xlminer By Shmueli, Galit, Bruce, Peter C., Nitin R. Patel Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner (R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft (R) Office Excel (R) add-in XLMiner (R) to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining Hardback, 2016 , 514 pages, very good condition

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