CS 780/INFS 780

Data Mining for Multimedia Databases

Dr. Jessica Lin

FALL 2008

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. 

Schedule: TBA