JNTU BTECH 3-2 Dataware house and data Mining – Concepts and Techniques - JIAWEI HAN & MICHELINE KAMBER
The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor
Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8
Course slides (in PowerPoint form) (and will be updated without notice!
Chapter 2. Data Warehouse and OLAP Technology for Data Mining
Chapter 4. Data Mining Primitives, Languages, and System Architectures
Chapter 5. Concept Description: Characterization and Comparison
Chapter 6. Mining Association Rules in Large Databases (compressed)
Chapter 7. Classification and Prediction
Chapter 9. Mining Complex Types of Data
Chapter 10. Data Mining Applications and Trends in Data Mining
Appendix A. An Introduction to Microsoft's OLE DB for Data Mining
Chapter 2. Data Warehouse and OLAP Technology for Data Mining
Chapter 4. Data Mining Primitives, Languages, and System Architectures
Chapter 5. Concept Description: Characterization and Comparison
Chapter 6. Mining Association Rules in Large Databases (compressed)
Chapter 7. Classification and Prediction
Chapter 9. Mining Complex Types of Data
Chapter 10. Data Mining Applications and Trends in Data Mining
Appendix A. An Introduction to Microsoft's OLE DB for Data Mining
No comments:
Post a Comment