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
George Mason University
Daniel Barbara (email@example.com)
Times and Days
CS 310 and STAT 344.