CS 780/INFS 780 Data Mining for Multimedia Databases Dr. Jessica Lin FALL 2009 |
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 9/9 - The lecture slides have been posted on Blackboard: http://gmu.blackboard.com |
Instructor:
Office: Engineering Building, Room 4419
Phone: 703-993-4693
Email: jessica [AT] cs [DOT] gmu [DOT] edu
Office Hours: Wednesday 1-3pm
Classes
Thursday
4:30-7:10pm
School of Art Building 2003
Prerequisite:
INFS 755 or CS 750, 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 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.
Tentative Schedule
No
Dates
Topics
Reading Assignment
Notes
1
9/3
Introduction / Data Mining Review I
2
9/10
Introduction / Data Mining Review II
3
9/17
Indexing / Spatial Access Methods I
4
9/24
Spatial Access Methods II / Text Mining I
5
10/1
Text Mining II
6
10/8
Web
7
10/15
Time Series I
8
10/22
Time Series II
9
10/29
Midterm
10
11/5
Spatial / Spatiotemporal Mining
11
11/12
Image I
12
11/19
Image II
13
11/26
Thanksgiving
14
12/3
Video / Audio
15
12/10
Project Presentation
16
12/17
Final Exam