CS 780/INFS 780

Data Mining for Multimedia Databases

Dr. Jessica Lin

FALL 2009

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Dr. Jessica Lin 

Office: Engineering Building, Room 4419

Phone: 703-993-4693

Email: jessica [AT] cs [DOT] gmu [DOT] edu

Office Hours: Tuesday 1-3pm


School of Art Building 2003


INFS 755 or CS 750, or permission of instructor. Some programming skills required.



You will be given reading materials during the class.


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 will be based on assignments, midterm, final, and a project. 

Course Website


Tentative Schedule

No Dates Topics
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