Data Mining

A broad introduction to data mining methods and an exploration of research problems in data mining and its applications in complex real-world domains. Approaches include association and classification rule learning, tree learning, neural network and Bayesian methods, support vector machines, clustering, and ensemble learning.

Not offered on a regular basis.

Bulletin:
http://www.bulletin.uga.edu/CoursesHome.aspx?cid=31068

Credit Hours:
4
Prerequisites:
CSCI 2720
Course Information File: