\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eSecond Edition\u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e \u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\"\u0026hellip;full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing.\"\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e- Research Magazine\u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e \u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\"Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature.\"\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e- ComputingReviews.com\u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e \u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\"Excellent choice for business analysts...The book is a perfect fit for its intended audience.\" \u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e- Keith McCormick, Consultant and Author of \u003c/i\u003e\u003c/b\u003e\u003cb\u003eSPSS Statistics For Dummies, Third Edition\u003ci\u003e and \u003c/i\u003eSPSS Statistics for Data Analysis and Visualization\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e \u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\"\u0026hellip;extremely well organized, clearly written and introduces all of the basic ideas quite well.\" \u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e- Robert L. Phillips, Professor of Professional Practice, Columbia Business School\u003c/i\u003e\u003c/b\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e\u003ci\u003e\u003ci\u003eData Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition \u003c/i\u003e\u003c/i\u003epresents 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® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data.\u003c/p\u003e \u003cp\u003eFeaturing updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the \u003ci\u003eThird Edition\u003c/i\u003e also includes:\u003c/p\u003e \u003cul\u003e \u003cli\u003eReal-world examples to build a theoretical and practical understanding of key data mining methods \u003c/li\u003e \u003cli\u003eEnd-of-chapter exercises that help readers better understand the presented material\u003c/li\u003e \u003cli\u003eData-rich case studies to illustrate various applications of data mining techniques\u003c/li\u003e \u003cli\u003eCompletely new chapters on social network analysis and text mining\u003c/li\u003e \u003cli\u003eA companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides\u003c/li\u003e \u003cli\u003eFree 140-day license to use XLMiner for Education software\u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003ci\u003eData Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition\u003c/i\u003e is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.\u003c/p\u003e
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