Pang-Ning Tan <br/><br/>
Introduction to Data Mining 

 - Noida  Pearson / Dorling Kindersley ( India ) Pvt.Ltd  2014 
 - 732p. 
<br/><br/>	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. 
<br/><br/><label>ISBN: </label>9789332518650 
<br/><br/><label>Subjects--Topical Terms: </label><br/> 	      Data mining.     Exploration de données (Informatique) 
<br/><br/><label>Dewey Class. No.: </label>006.312 TAN-I