HOME
Instructor:
Dr. Jessica Lin
Office:
Science
& Technology II, Room 453
Phone:
703-993-4693
Email:
jessica [AT] cs [DOT] gmu [DOT] edu
Office
Hours: Monday 3-5pm
Classes
Wednesday
7:20-10:00pm
Science & Technology I 120
Prerequisite:
INFS 755 or CS 750, or permission of
instructor. Some
programming skills required.
Textbooks
Required (Note: The bookstore has made a
mistake and marked this book as "optional.")
Searching
Multimedia Databases by Content, Kluwer Academic Press, 1996
(used version available on Amazon.com)
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 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. Mining techniques and data types to be covered
include texts/web, images, videos, DNA, temporal, spatial,
spatiotemporal databases, stream mining and data visualization.
Grading
Grading
will be
based on assignments, midterm, final,
and a project.
Assignments: 25%
Project: 15%
Midterm: 25%
Final: 35%
Schedule: TBA
No |
Dates |
Topics |
Reading Assignment |
Notes |
1 |
8/27 |
Introduction / Data Mining Review I |
|
|
2 |
9/3 |
Introduction / Data Mining Review II |
|
|
3 |
9/10 |
Indexing / Spatial Access Methods I |
Ch. 1-5 |
|
4 |
9/17 |
Spatial Access Methods II / Text Mining I |
|
|
5 |
9/24 |
Text Mining II |
|
|
6 |
10/1 |
Web |
|
|
7 |
10/8 |
Time Series I |
|
|
8 |
10/15 |
Time Series II |
|
|
9 |
10/22 |
Midterm |
|
|
10 |
10/29 |
Spatial / Spatiotemporal |
|
|
11 |
11/5 |
Image I |
|
|
12 |
11/12 |
Image II |
|
|
13 |
11/19 |
Video / Audio |
|
|
14 |
11/26 |
TBA |
|
|
15 |
12/3 |
Project Presentation |
|
|
16 |
12/10 |
Final Exam |
|
|
|