George Mason University
George Mason University Mason
George Mason University

CS 484: Data Mining

Instructor Information

Section Information

Basic principles and methods for data analysis and knowledge discovery. Emphasizes developing basic skills for modeling and prediction and performance evaluation. Topics include system design; data quality, preprocessing, and association; event classification; clustering; biometrics; business intelligence; and mining complex types of data.

Course Information from University Catalog

Limited to 2 Attempts


Basic principles and methods for data analysis and knowledge discovery. Emphasizes developing basic skills for modeling and prediction and performance evaluation. Topics include system design; data quality, preprocessing, and association; event classification; clustering; biometrics; business intelligence; and mining complex types of data.

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

Grade of C or better in CS 310 and STAT 344.

Instructor Information
Expertise