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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