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 (в скане отсутствует)
Anomaly Detection (в скане отсутствует)
Appendix A. Linear Algebra (в скане отсутствует)
Appendix B. Dimensionality Reduction (в скане отсутствует)
Appendix C. Probability and Statistics (в скане отсутствует)
Appendix D. Regression (в скане отсутствует)
Appendix E. Optimization (в скане отсутствует)