Advanced Data Mining Course Textbook Jiawei Han, Micheline Kamber and Jian Pei, Data Mining: Concepts and Techniques (Third Edition), Morgan Kaufmann, 2011 Book Homepage: https://hanj.cs.illinois.edu/bk3/ Slides http://hanj.cs.illinois.edu/bk3/bk3_slidesindex.htm Grading Midterm Exam: 40% Final Exam: 40% Assignments: 10% Attendance: 10% Office Hour 14:00 – 17:00 Monday Schedule WEEK 1 Chapter 1. Introduction PPT Link: https://hanj.cs.illinois.edu/bk3/bk3_slides/01Intro.ppt Additional materials: https://github.com/massive-data-computing/ADM/blob/main/ADM_W1.pptx https://github.com/massive-data-computing/ADM/blob/main/ex0307.html WEEK 2/Week 3 Chapter2. Getting to Know Your Data WEEK 4/WEEK 5 Chapter3. Data Preprocessing WEEK 6/WEEK 7 Chapter6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods WEEK 8 Midterm Exam WEEK 9/WEEK 10 Chapter7. Advanced Pattern Mining WEEK 11/WEEK 12 Chapter8. Classification: Basic Concepts WEEK 13/WEEK 14 Chapter10. Cluster Analysis: Basic Concepts and Methods Advanced Topics WEEK 15 Final Exam