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Introduction to Business Data Mining

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ISBN-10: 0072959711

ISBN-13: 9780072959710

Edition: 2007

Authors: David L. Olson, Yong Shi

List price: $162.67
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Introducing students to the fundamental concepts of data mining, this text shows readers how to gather and analyze large sets of data to gain business understanding. It introduces the material, demonstrates data mining algorithms, focuses on the business applications of data mining, and presents an overview of the developing areas.
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Book details

List price: $162.67
Copyright year: 2007
Publisher: McGraw-Hill Higher Education
Publication date: 11/18/2005
Binding: Hardcover
Pages: 288
Size: 8.00" wide x 10.00" long x 0.50" tall
Weight: 1.628
Language: English

Initial Description of Data Mining in Business
Data Mining Processes and Knowledge Discovery
Database Support to Data Mining
Data Mining Methods As Tools
Overview of Data Mining Techniques Chapter 4
Appendix: Enterprise Miner Demonstration on Expenditure Data Set
Cluster Analysis Chapter 5 Appendix: Clementine
Regression Algorithms in Data Mining
Neural Networks in Data Mining
Decision Tree Algorithms
Appendix 8: Demonstration of See5 Decision Tree Analysis
Linear Programming-Based Methods Chapter 9
Appendix: Data Mining Linear Programming Formulations
Business Applications
Business Data Mining Applications Applications
Market-Basket Analysis Chapter 11
Appendix: Market-Basket Procedure
Developing Issues
Text and Web Mining Chapter 12
Appendix: Semantic Text Analysis
Ethical Aspects of Data Mining