Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an utilized method to information mining and predictive analytics with clear exposition, hands-on workout routines, and real-life case research. Readers will work with the entire commonplace information mining strategies utilizing the Microsoft® Office Excel® add-in XLMiner® to develop predictive fashions and learn to receive enterprise worth from Big Data.
Featuring up to date topical protection on textual content mining, social community evaluation, collaborative filtering, ensemble strategies, uplift modeling and extra, the Third Edition additionally consists of:
– Real-world examples to construct a theoretical and sensible understanding of key information mining strategies
– End-of-chapter workout routines that assist readers higher perceive the introduced materials
– Data-rich case research as an example varied functions of information mining strategies
– Completely new chapters on social community evaluation and textual content mining
– A companion web site with further information units, instructors materials that embrace options to workout routines and case research, and Microsoft PowerPoint® slides http://www.dataminingbook.com
– Free 140-day license to make use of XLMiner for Education software program
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is a perfect textbook for upper-undergraduate and graduate-level programs in addition to skilled packages on information mining, predictive modeling, and Big Data analytics. The re-creation can also be a novel reference for analysts, researchers, and practitioners working with predictive analytics within the fields of enterprise, finance, advertising, pc science, and data know-how.
Praise for the Second Edition
“…full of vivid and thought-provoking anecdotes… needs to be read by anyone with a serious interest in research and marketing.”- Research Magazine
“Shmueli et al. have done a wonderful job in presenting the field of data mining – a welcome addition to the literature.” – ComputingReviews.com
“Excellent choice for business analysts…The book is a perfect fit for its intended audience.” – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization
Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed information mining programs since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is thought for her analysis and instructing in enterprise analytics, with a concentrate on statistical and information mining strategies in data techniques and healthcare. She has authored over 70 journal articles, books, textbooks and ebook chapters.
Peter C. Bruce is President and Founder of the Institute for Statistics Education at http://www.statistics.com. He has written a number of journal articles and is the developer of Resampling Stats software program. He is the writer of Introductory Statistics and Analytics: A Resampling Perspective, additionally revealed by Wiley.
Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based mostly in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has additionally served as a Visiting Professor on the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor on the Indian Institute of Management, Ahmedabad for 15 years.