#### Jiawei Han and Micheline
Kamber

# Data Mining: Concepts and Techniques, 2^{nd}
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 3^{rd}
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

** **