George Mason University

Department of Computer Science

CS 674: Data Mining on Multimedia Data

Spring 2017

Professor Jessica Lin

Course Description

This course covers advanced techniques for managing, searching, and mining of various types of data such as text, web, images, time series, video, and audio. Issues related to handling such data will be discussed, including feature selection, high dimensional indexing, interactive search and information retrieval, pattern discovery, and scalability.

Class Time and Location

Wednesday, 4:30-7:10 pm
Innovation Hall 206

Instructor

Dr. Jessica Lin
Office: Engineering Building 4419
Phone: 703-993-4693
Email: jessica [AT] cs [DOT] gmu [DOT] edu
Office Hours: Wednesday & Thursday 3-4pm

Prerequisites

Grading

Assignments/in-class participation: 30%

Project: 25%

Midterm: 25%

Take-home final: 20%

Exams

There will be one midterm exam and one take-home final exam covering lectures and readings. The midterm exam must be taken at the scheduled time and place, unless prior arrangement has been made with the instructor. Missed exam cannot be made up.

Textbooks

1. (Required) You will be given reading materials during the class.
   
2. (Recommended)  Data Mining: Concepts and Techniques, 2nd Edition, Morgan Kauffmann Publishers, March 2006. ISBN 1-55860-901-6.
   
   

Honor Code Statement

The GMU Honor Code is in effect at all times. In addition, the CS Department has further honor code policies regarding programming projects, which are detailed here. Any deviation from the GMU or the CS department Honor Code is considered an Honor Code violation. All assignments for this class are individual unless otherwise specified.

Learning Disability Accommodation

If you have a documented learning disability or other condition which may affect academic performance, make sure this documentation is on file with the Office of Disability Services and then discuss with the professor about accommodations.

Course Website