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- W1567281254 abstract "Part I: INTRODUCTION Chapter 1: Initial Description of Data Mining in Business Chapter 2: Data Mining Processes and Knowledge Discovery Chapter 3: Database Support to Data Mining Part II: DATA MINING METHODS AS TOOLS Chapter 4: Overview of Data Mining Techniques Chapter 4 Appendix: Enterprise Miner Demonstration on Expenditure Data Set Chapter 5: Cluster Analysis Chapter 5 Appendix: Clementine Chapter 6: Regression Algorithms in Data Mining Chapter 7: Neural Networks in Data Mining Chapter 8: Decision Tree Algorithms Appendix 8: Demonstration of See5 Decision Tree Analysis Chapter 9: Linear Programming-Based Methods Chapter 9 Appendix: Data Mining Linear Programming Formulations Part III: BUSINESS APPLICATIONS Chapter 10: Business Data Mining Applications Applications Chapter 11: Market-Basket Analysis Chapter 11 Appendix: Market-Basket Procedure Part IV: DEVELOPING ISSUES Chapter 12: Text and Web Mining Chapter 12 Appendix: Semantic Text Analysis Chapter 13: Ethical Aspects of Data Mining" @default.
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- W1567281254 date "2005-11-18" @default.
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- W1567281254 title "Introduction to Business Data Mining" @default.
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