Jiawei
Han, Micheline Kamber and Jian Pei
Data Mining: Concepts and Techniques, 3rd ed.
The Morgan Kaufmann Series in Data
Management Systems
Morgan Kaufmann Publishers, July 2011. ISBN 978-0123814791
Slides in
PowerPoint
Chapter 4. Data Warehousing and On-Line Analytical Processing
Chapter 5. Data Cube
Technology
Chapter 6. Mining
Frequent Patterns, Associations and Correlations: Basic Concepts and Methods
Chapter 7. Advanced
Frequent Pattern Mining
Chapter 8. Classification: Basic Concepts
Chapter 9.
Classification: Advanced Methods
Chapter 10. Cluster
Analysis: Basic Concepts and Methods
Chapter 11.
Cluster Analysis: Advanced Methods
Chapter 13. Trends and
Research Frontiers in Data Mining
Updated Slides for CS, UIUC Teaching in
PowerPoint form
(Note: This set of slides corresponds to the current teaching of
the data mining course at CS, UIUC. In general, it takes new
technical materials from recent research papers but shrinks some materials of
the textbook. It has also re-arranged the order of presentation for
some technical materials.)
Instructions on finding
the new sets of slides are as follows:
1. Go to the homepage of
the first author, Prof. Jiawei Han: http://web.engr.illinois.edu/~hanj/
2. Click the following
links in the section of Teaching:
a. UIUC CS412: An Introduction to Data Warehousing
and Data Mining
b. UIUC CS512: Data Mining: Principles and
Algorithms
3. Download the slides of the corresponding
chapters you are interested in