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.


Credit Hours:
CSCI 2720
Course Information File: