TY  - BOOK
AU  - Tan, Pang-Ning
AU  - Kumar, Vipin
AU  -  Steinbach, Michael
TI  - Introduction to data mining
SN  - 9789332571402
U1  - 006.312 
PY  - 2016///
CY  - New Delihe
PB  - Pearson
KW  - Knowledge acquisition (Expert systems)
KW  - Database management
KW  - Data mining
N1  - . 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
N2  -  	
"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
ER  -