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Jiawei Han and Micheline Kamber

Data Mining: Concepts and Techniques, 2nd ed.

The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor
Morgan Kaufmann Publishers, March 2006. ISBN 1-55860-901-6

Slides in PowerPoint form

Chapter 1. Introduction

Chapter 2. Data Preprocessing

Chapter 3. Data Warehouse and OLAP Technology: An Overview

Chapter 4. Data Cube Computation and Data Generalization

Chapter 5. Mining Frequent Patterns, Associations and Correlations

Chapter 6. Classification and Prediction

Chapter 7. Cluster Analysis

Chapter 8. Mining Stream, Time-Series and Sequence Data

Section 8.1. Mining Data Streams

Section 8.2. Mining Time-Series Data

Section 8.3. Mining Sequence Patterns in Transactional Databases

Section 8.4. Mining Sequence Patterns in Biological Databases

Chapter 9. Graph Mining, Social Network Analysis and Multi-Relational Data Mining

Section 9.1. Graph Mining

Section 9.2. Social Network Analysis

Section 9.3. Multirelational Data Mining

Chapter 10. Mining Object, Spatial, Multimedia, Text and Web Data

Section 10.1. Mining Object, Spatial and Multimedia Data


Section 10.1. Mining Text and Web Data

Chapter 11. Applications and Trends in Data Mining  

Additional theme: Visual Data Mining


Additional theme: Software Bug Mining


Additional theme: RFID Data Warehousing and High-Performance Data Mining


Additional theme: Intrusion Detection and Data Mining


Additional theme: Collaborative Filtering and 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 rearranged the order of presentation for some technical materials.  This new set of slides corresponds more closely to the coming 3rd edition of the book, whose first volume will be published sometime in 2011.)

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 the Home Page of Data Mining: Concepts and Techniques, 2nd ed.

Back to Jiawei Han's Home Page

Back to the Home Page of Data and Information Systems Research Laboratory, Computer Science, University of Illinois at Urbana-Champaign