Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
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