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Introduction to data mining
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| Format: | Printed Book |
| Published: |
Noida
Pearson
2014
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| Subjects: |
Table of Contents:
- 1. Introduction 2. Data 3. Exploring Data 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation 5. Classification: Alternative Techniques 6. Association Analysis: Basic Concepts and Algorithms 7. Association Analysis: Advanced Concepts 8. Cluster Analysis: Basic Concepts and Algorithms 9. Cluster Analysis: Additional Issues and Algorithms 10. Anomaly Detection Appendix B: Dimensionality Reduction Appendix D: Regression Appendix E: Optimization