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 1. Introduction

Chapter 2. Know Your Data

Chapter 3. Data Preprocessing

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 12. Outlier Detection

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

Back to Data Mining: Concepts and Techniques, 3rd ed.

Back to Jiawei Han, Data and Information Systems Research Laboratory, Computer Science, University of Illinois at Urbana-Champaign