Introduction to Data Mining
Material type: TextPublication details: Noida Pearson / Dorling Kindersley ( India ) Pvt.Ltd 2014Description: 732pISBN:- 9789332518650
- 006.312 TAN-I
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 006.312 TAN-I (Browse shelf(Opens below)) | Available | DCB2520 |
Browsing Dept. of Computational Biology and Bioinformatics shelves, Shelving location: Processing Center Close shelf browser (Hides shelf browser)
006.312 PAL-P Pattern Recognition Algorithms For Data Mining | 006.312 PAP-D Data science fundamentals for Python and MongoDB | 006.312 SCA-P Python and R for the modern data scientist : the Best of both worlds | 006.312 TAN-I Introduction to Data Mining | 006.312 TEX Text Mining: Predictive Methods for Analyzing Unstructured Information | 006.32 CAL-E The Essence of Neural Networks : Essence of computing | 006.32 IND Independent Components Analysis |
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.
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