| Date | Due | Topic | Chapter | ||
| Fr | Aug 29 | Introduction to KDD and Data Mining | 1, 9 | ||
| Tu | Sep 02 |
Input: Concepts, Instances, Attributes
Output: Knowledge Representation Evaluation of Patterns | 2, 7.1-7.2 3 5.1, 5.2, 5.3 | ||
| Fr | Sep 05 | Proj0 |
Decision Trees
Project 0 in-class presentations | 4.3, 6.1 | |
| Tu | Sep 09 | HW1 | Classification Rules | 4.1, 4.4, 6.2 | |
| Fr | Sep 12 | Proj1 | Association Rules
Project 1 in-class presentations | 4.5 | |
| Tu | Sep 16 | Numeric Predictions (I) | 4.6, 6.5, 5.8 | ||
| Fr | Sep 19 | HW2 & Proj2 | Numeric Predictions (II)
Project 2 in-class presentations | 4.6, 6.5, 5.8 | |
| Tu | Sep 23 | Instance-based Learning | 4.7, 6.4 | ||
| Fr | Sep 26 | Review and ** EXAM 1 ** | |||
| Tu | Sep 30 | HW3 | Clustering | 6.6 | |
| Fr | Oct 03 | Proj3 | Visualization
Project 3 in-class presentations | ||
| Tu | Oct 07 | HW4 | Text Mining, Web Mining | 8.3 | |
| Fr | Oct 10 | Proj4 | Research topics - Scientific and Industrial Applications
Project 4 in-class presentations | ||
| Tu | Oct 14 | Review and ** EXAM 2 ** |