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. Offered by Computer Science. May not be repeated for credit.
Theory/application Data Mining
Host University
George Mason University
Semester
Summer 2023
Credits
3
Discipline
Computer Science
Instructor
Daniel Barbara (dbarbara@gmu.edu)
Times and Days
10:30am-12:35pm
T, R
Course Information
Prerequisites
CS 310 and STAT 344.