Week of |
Chapter |
Description and Slides |
Events |
|
Apr 1 |
1 |
intro, issues in Data Mining |
Apr 8 |
2, 3 |
data features, data preprocessing, data warehouse |
Apr 15 |
4, 5 |
data cube, design, OLAP, OLAM |
Apr 22 |
6, 7 |
Association Mining, Pattern Mining |
Apr 29 |
8 |
Classification and Prediction |
May 6 |
8,9 |
Classification and Prediction, Deep Learning |
Read Deep Learning paper |
May 13 |
10 |
Clustering, Midterm Review (Friday) |
May 20 |
11, 12 |
Midterm (Wednesday), Outlier Analysis, Complex Types |
Midterm: Wednesday, May 22, Final
Project Part 1 (proposal): Friday, May 24 |
May 27 |
|
Project implementations (no lectures) |
June 3 |
13 |
Graph, Social Network Analysis |
June 10 |
|
Project Presentation and Final Report |
Final
Project Presentations Monday, June 10, 2:45pm - 4:45pm, Part 2 (final report): Friday, June 15 |