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Introduction to Data Mining
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| Format: | Printed Book |
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Noida
Pearson / Dorling Kindersley ( India ) Pvt.Ltd
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
- App. A. Linear algebra
- App. B. Dimensionality reduction
- App. C. Probability and statistics
- App. D. Regression
- App. E. Optimization.