数据挖掘的原理：
Table of Contents
Principles of Data Mining
Series Foreword
Preface
Chapter 1 - Introduction
Chapter 2 - Measurement and Data
Chapter 3 - Visualizing and Exploring Data
Chapter 4 - Data Analysis and Uncertainty
Chapter 5 - A Systematic Overview of Data Mining Algorithms
Chapter 6 - Models and Patterns
Chapter 7 - Score Functions for Data Mining Algorithms
Chapter 8 - Search and Optimization Methods
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 Patterns and Rules
Chapter 14 - Retrieval by Content
Appendix - Random Variables
References
Index
List of Figures
List of Tables
List of Examples