News & Announcements |
8/28: HW0 posted. Due 9/4 at
11:55pm. 8/30: HW1 posted. Due 9/18 at 11:55pm. 10/18: Project guideline posted. Proposal due 10/30 at 11:55pm. 10/22: HW4 posted. Due 11/6 at 11:55pm. |
Basic principles and methods for data analysis and knowledge
discovery. Emphasizes developing basic skills for modeling and
prediction and performance evaluation. Topics include system design;
data quality, preprocessing, and association; event classification;
clustering; biometrics; business intelligence; and mining complex types
of data.
Tuesday/Thursday, 12-1:15pm
Art and Design Building L008
Dr. Jessica Lin
Office: Engineering Building 4419
Phone: 703-993-4693
Email: jessica [AT] gmu [DOT] edu
Office Hours: T
Priya Mani
Email: pmani [AT] gmu [DOT] edu
Office Hours: Monday/Thursday 4-5pm
Office: Engineering Building 4456
There will be one exam covering lectures and readings (in class, closed book). The exam must be taken at the scheduled time and place, unless prior arrangement has been made with the instructor. Missed exam cannot be made up.
Required: Introduction
to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin
Kumar (click on the link for the companion website)
The GMU Honor Code is in effect at all times. In addition, the CS Department has further honor code policies regarding programming projects, which are detailed here. Any deviation from the GMU or the CS department Honor Code is considered an Honor Code violation. All assignments for this class are individual unless otherwise specified.
If you have a documented learning disability or other condition which may affect academic performance, make sure this documentation is on file with the Office of Disability Services and then discuss with the professor about accommodations.
Week |
Date |
Topic |
Assigned |
Due |
Note |
1 |
8/28 8/30 |
Introduction (Ch.
1) |
HW0 HW1 |
||
2 |
9/4 9/6 |
Classification
(Ch. 3-4) |
HW0 |
||
3 |
9/11 9/13 |
Classification |
|||
4 |
9/18 9/20 |
Classification |
HW2 |
HW1 |
|
5 |
9/25 9/27 |
Classification |
|||
6 |
10/2 10/4 |
Classification Clustering (Ch. 7-8) |
HW3 |
HW2 |
|
7 |
10/9 10/11 |
No Class Clustering |
|||
8 |
10/16 10/18 |
Clustering |
|||
9 |
10/23 10/25 |
Clustering Association Analysis |
HW3 |
||
10 |
10/30 11/1 |
Association
Analysis |
Project Proposal |
||
11 |
11/6 11/8 |
Anomaly Detection |
HW4 |
||
12 |
11/13 11/15 |
Exam |
|||
13 |
11/20 11/22 |
Advanced Topic Thanksgiving |
|||
14 |
11/27 11/29 |
TBD |
|||
15 |
12/4 12/6 |
TBD |
|||
16 |
12/11 12/13 |
Project report |