Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

<p><i><i>Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition </i></i>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® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data.</p> <p>Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the <i>Third Edition</i> also includes:</p> <ul> <li>Real-world examples to build a theoretical and practical understanding of key data mining methods </li> <li>End-of-chapter exercises that help readers better understand the presented material</li> <li>Data-rich case studies to illustrate various applications of data mining techniques</li> <li>Completely new chapters on social network analysis and text mining</li> <li>A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides</li> <li>Free 140-day license to use XLMiner for Education software</li> </ul> <p><i>Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition</i> 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.</p>