Tan P.-N., Michael Steinbach M., Kumar V. Introduction to Data Mining

N.Y.: Addison-Wesley, 2005. — 769 p.Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.Data
Exploring Data
Classification: Basic Concepts, Decision Trees, and Model Evaluation
Classification: Alternative Techniques
Association Analysis: Basic Concepts and Algorithms
Association Analysis: Advanced Concepts
Cluster Analysis: Basic Concepts and Algorithms
Cluster Analysis: Additional Issues and Algorithms (not included in the scan)
Anomaly Detection (not included in the scan)
Appendix A. Linear Algebra (not included in the scan)
Appendix B. Dimensionality Reduction (not included in the scan)
Appendix C. Probability and Statistics (not included in the scan)
Appendix D. Regression (not included in the scan)
Appendix E. Optimization (not included in the scan)