Introduction to data mining

Tan, Pang-Ning

Introduction to data mining - New Delihe Pearson 2016 - xix, 760 p. some Colour 23 cm.

. 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

9789332571402


Knowledge acquisition (Expert systems)
Database management
Data mining

006.312 / TAN