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Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
Galit Shmueli, Univ. of Maryland, College Park
Nitin R. Patel, Massachusetts Institute of Technology
Peter C. Bruce, statistics.com
ISBN: 978-0-470-08485-4
©2007
298 pages
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TITLE INFORMATION
Description  |  Author Info  |  Table of Contents  |  Hallmark Features  |  Sample Chapters  |  Reviewer Comments
Description
This book arose out of a data mining course at MIT’s Sloan School of Management. Preparation for the course revealed that there are a number of excellent books on the business context of data mining, but their coverage of the statistical and machine learning algorithms and theoretical underpinnings is not sufficiently detailed to provide a practical guide for users who possess the raw skills and tools to analyze data. This book is intended for the business student (and practitioner) of data mining techniques. The book employs the use of an Excel® add-in, XLMinerTM, at no cost to the purchaser, in order to illustrate and interpret the various data sets that are presented throughout. Real-life business cases are also presented so that readers can implement algorithms with a very low learning hurdle.

Related Website http://dataminingbook.com/  


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