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: 4 Prerequisites: CSCI 2720 or CSCI 2725 Level: Graduate Undergraduate Course Information File: CIS_CSCI_4380_0.pdf (124.55 KB)
