Principle of Data Mining By David Hand, Heikki Mannila and Padhraic Smith
The MIT Press@ 2001(546) pages
A comprehensive, highly technical look at the math and science behind extracting useful information from large databases.
Chapter 1: Introduction Chapter 2: Measurement and Data Chapter 3: Visualizing and Exploring Data Chapter 4: Data Analysis and Uncertainty Chapter 5: A systematic Overviews of Data Mining Algorithm Chapter 6: Models and Patterns Chapter 7: Score Functions for Data Mining Algorithm Chapter 8: Search and Optimization Method Chapter 9: Descriptive Modeling Chapter 10: Predictive Modeling for Classification Chapter 11: Predictive Modeling for Regression Chapter 12: Data Organization and Databases Chapter 13: Finding Pattern and Rules Chapter 14: Retrieval by Content Appendix: Random Variables Reference Index List of the Figures List of the Tables
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