TY  - BOOK
AU  - Pang-Ning Tan
AU  - Michael Steinbach
AU  - ; Vipin Kumar
TI  - Introduction to data mining
SN  - 978933257
U1  - 006.312 TAN 
PY  - 2016///
CY  - New Delhi
PB  - :Pearson Education
KW  - Computer Science
KW  - Data mining
N1  - 	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
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  -