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Introduction to Business
Data Mining
David L. Olson and Yong Shi
Boston: McGraw-Hill/Irwin (2006)
ISBN 0-02-389340-0
Data mining in business
discussion of process, techniques, applications, issues
Table of Contents
Chapter 1 Initial description of data mining in business
Chapter 2 Data mining processes and knowledge discovery
Chapter 3 Database support to data mining
Chapter 4 Overview of data mining techniques
Chapter 5 Cluster analysis
Chapter 6 Regression algorithms in data mining
Chapter 7 Neural networks in data mining
Chapter 8 Decision tree algorithms
Chapter 9 Linear programming-based methods
Chapter 10 Business data mining applications
Chapter 11 Market-basket analysis
Chapter 12 Text and Web mining
Chapter 13 Ethical aspects of data mining