1. Introduction; 2. Data and Measurements; 3. Data Preparation; 4. Data Warehousing and OLAP; 5. Frequent Patterns and Associate Rules; 6. Advanced Pattern Mining; 7. Classification; 8. Advanced Topics on Classification; 9. Clustering; 10. Advanced Topics on Clustering; 11. Outlier and Anomaly Detection; 12. Further Topics; Appendix: Mathematical Concepts and Tools | 
Data mining [1,42 mb]