Errata on the first and second printings of the book
Errata on the 3rd printing (as well as the previous
ones) of the book
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
Appendix B.
An Introduction to DBMiner
University of Illinois at Urbana-Champaign: CS497JH "Data Mining:
Concepts and Techniques", Fall 2001,
For Intructor's manual, please contact Morgan Kaufmann Publishers by January 2001
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Intelligent Database Systems Research Laboratory,
Computing Science ,
Simon Fraser University
