Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Vipin Kumar, University of Minnesota Table of Contents Sample Chapters Resources for Instructors and Students Solution Manual Errata (March 25, 2006) Webpage for Second Edition (2018) |
|
All files are in Adobe's PDF format and require Acrobat Reader.
1. Introduction (lecture slides: [PPT] [PDF])
2. Data (lecture slides: [PPT][PDF])
3. Exploring Data (lecture slides: [PPT][PDF])
4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT][PDF])
5. Classication: Alternative Techniques (lecture slides: [PPT][PDF])
6. Association Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
7. Association Analysis: Advanced Concepts (lecture slides: [PPT][PDF])
8. Cluster Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF])
9. Cluster Analysis: Additional Issues and Algorithms (lecture slides: [PPT][PDF])
10. Anomaly Detection (lecture slides: [PPT][PDF])
1. Introduction (figure slides: [PPT])
2. Data (figure slides: [PPT])
3. Exploring Data (figure slides: [PPT])
4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (figure slides: [ PPT])
5. Classication: Alternative Techniques (figure slides: [PPT])
6. Association Analysis: Basic Concepts and Algorithms (figure slides: [PPT])
7. Association Analysis: Advanced Concepts (figure slides: [PPT])
8. Cluster Analysis: Basic Concepts and Algorithms (figure slides: [PPT])
9. Cluster Analysis: Additional Issues and Algorithms (figure slides: [PPT])
10. Anomaly Detection (figure slides: [PPT])