Introduction to data mining /Pang-Ning Tan; Michael Steinbach; Vipin Kumar
Material type:
TextPublisher number: Raghav Books Private Limited | A-184 A, Nand Gram, Ghaziabad, U.P.Publication details: New Delhi :Pearson Education ,2016Description: xix,760 Pages ;24 cmISSN: - 9789332571402
- 006.312 TAN
| Item type | Current library | Call number | Status | Barcode | |
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SNU LIBRARY | 006.312 TAN (Browse shelf(Opens below)) | Available | G3480 | |
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Books
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SNU LIBRARY | 006.312 TAN (Browse shelf(Opens below)) | Available | G3481 | |
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Books
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SNU LIBRARY | 006.312 TAN (Browse shelf(Opens below)) | Available | 27484 |
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.
Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics
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