Week | Date | Due | Topic | Book Chapters/Sections | |
1 | Tu | Oct 23 |
Introduction to KDD and Data Mining
Data and Data Preprocessing | 1, 2 | |
Th | Oct 25 | ||||
Fr | Oct 26 | ||||
2 | Mo | Oct 29 |
Data Exploration
Data Visualization Data Integration and OLAP Classification: Decision trees Project 1 presentations | 3, 4.1,4.2, 4.3 | |
Tu | Oct 30 | ||||
Th | Nov 01 | ||||
Fr | Nov 02 | Proj1 | |||
3 | Mo | Nov 05 |
Classification: Model Evaluation
Classification: Bayesian Nets Project 2 presentations | 4.5, 5.3 | |
Tu | Nov 06 | ||||
Th | Nov 08 | ||||
Fr | Nov 09 | Proj2
(with solutions) | |||
4 | Mo | Nov 12 |
Classification Rules
Association Rules Project 3 presentations | 5.1, 6.1, 6.2, 6.3 | |
Tu | Nov 13 | ||||
Th | Nov 15 | ||||
Fr | Nov 16 | Proj3
(with solutions) | |||
5 | Mo | Nov 19 |
Exam1
solutions |
Exam 1 topics & sample questions
** Exam 1 ** Association Rules (cont.) | 6.7 |
Tu | Nov 20 | ||||
6 | Mo | Nov 26 |
Clustering
Project 4 presentations | 8 | |
Tu | Nov 27 | ||||
Th | Nov 29 | ||||
Fr | Nov 30 | Proj4
(with solutions) | |||
7 | Mo | Dec 03 |
Anomaly Detection
Text Mining Web Mining Project 5 presentations | 10 | |
Tu | Dec 04 | ||||
Th | Dec 06 | ||||
Fr | Dec 07 | Proj5
(with solutions) | |||
8 | Mo | Dec 10 |
Review
Exam 2 topics & sample questions ** Exam 2 ** Final Remarks | ||
Tu | Dec 11 | Exam2
solutions | |||
Th | Dec 13 |