
Slides in PowerPoint form
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 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
9.2. 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://www.cs.uiuc.edu/homes/hanj/
2.
Click the
following links in the section of Teaching: