George Mason University

Department of Computer Science

CS 584: Theory and Applications of Data Mining

Spring 2020

Professor Jessica Lin

Course Description

Concepts and techniques in data mining and multidisciplinary applications. Topics include databases; data cleaning and transformation; concept description; association and correlation rules; data classification and predictive modeling; performance analysis and scalability; data mining in advanced database systems, including text, audio, and images; and emerging themes and future challenges.

Class Time and Location

Tuesday 4:30-7:10pm
Innovation Hall 132


Dr. Jessica Lin
Office: Engineering Building 4419
Phone: 703-993-4693
Email: jessica [AT] gmu [DOT] edu
Office Hours: Tuesday 2-4pm

Teaching Assistant

Abhishek Paudel
Office Hours: TBA
Office: TBA


Assignments: 40%
Project: 35%
Exam: 25%
          Extra credit possible (participation, quizzes, competition winners for Homework)

There will be one exam covering lectures and readings (in class, closed book). The 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.


There will be one team project in the semester. The project grade consists of project proposal (including project pitch, 5% total of overall course grade), presentation (10%), and project report and code (20%).


Required: Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar (click on the link for the companion website)

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.

Tentative Schedule

See Course Website