Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence
In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to the development of successful business models.
Featuring XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of data mining techniques are presented with hands-on, business-oriented applications. An abundant amount of exercises and examples are provided to motivate learning and understanding.
Data Mining for Business Intelligence:
This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions.
"synopsis" may belong to another edition of this title.
GALIT SHMUELI, PHD, is Assistant Professor of Statistics in the Decision and Information Technologies Department of the Robert H. Smith School of Business at the University of Maryland.
NITIN R. PATEL, PHD, is Chairman, Founder, and Chief Technology Officer of Cambridge-based Cytel Incorporated and a Visiting Professor in the Engineering Systems Division at the Massachusetts Institute of Technology.
PETER C. BRUCE is President and owner of statistics.com, the leading provider of professional development courses in statistics.Review:
"Shmueli et al. have done a wonderful job in presenting the field of data mining...a welcome addition to the literature." (Computing Reviews.com, August 15, 2007)
"This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices." (IT Professional, January/February 2007)
"The book contains real case studies, providing yet further demonstrations of the extraordinary data wealth of the modern commercial world." (International Statistical Review, 2007)
"...full of vivid and thought-provoking anecdotes...needs to be read by anyone with a serious interest in research and marketing." (Research Magazine, August 2007)
"About this title" may belong to another edition of this title.
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