Instructor:
Dr. Jessica Lin
Office: Engineering Building, Room 4419
Phone:
703-993-4693
Email:
jessica [AT] cs [DOT] gmu [DOT] edu
Office
Hours: Tuesday 10-12pm
Classes
Thursday
4:30-7:10pm
Innovation Hall 136
Prerequisite:
INFS 755 or CS 750 (or equivalent data mining course), or permission of
instructor. Some
programming skills required.
Textbooks
Required You will be given reading materials during the class. Optional
Data
Mining:
Concepts and Techniques, 2nd Edition, Morgan Kauffmann Publishers,
March 2006. ISBN 1-55860-901-6.
Course Description:
This course covers advanced techniques
for data management, learning, and mining of large multimedia databases.
Issues related to handling such data including feature selection,
compression, high dimensional indexing, interactive search and
information retrieval, pattern discovery, and scalability to large
datasets are discussed. Topics to be covered
include text/web mining, image mining, video mining, temporal, spatial,
spatiotemporal and data stream mining and data visualization.
Grading
Grading
will be
based on assignments, midterm, final,
and a project.
Tentative Schedule
| No |
Dates |
Topics |
Reading Assignment |
Notes |
| 1 |
9/2 |
Introduction / Data Mining Review I |
|
|
| 2 |
9/9 |
Introduction / Data Mining Review II |
|
|
| 3 |
9/16 |
Indexing / Spatial Access Methods I |
|
|
| 4 |
9/23 |
Spatial Access Methods II / Text Mining I |
|
|
| 5 |
9/30 |
Text Mining II |
|
|
| 6 |
10/7 |
Web |
|
|
| 7 |
10/14 |
Time Series I |
|
|
| 8 |
10/21 |
Time Series II |
|
|
| 9 |
10/28 |
Midterm |
|
|
| 10 |
11/4 |
Spatial / Spatiotemporal Mining |
|
|
| 11 |
11/11 |
Image I |
|
|
| 12 |
11/18 |
Image II |
|
|
| 13 |
11/25 |
Thanksgiving |
|
|
| 14 |
12/2 |
Video / Audio |
|
|
| 15 |
12/9 |
Project Presentation |
|
|
| 16 |
12/16 |
Final Exam |
|
|
|