IFSC 4325 - Data Mining Concepts and Techniques

Three hours lecture. Three credit hours.

In-depth, practical coverage of essential data mining topics, including knowledge discovery and the data mining process, data pre-processing, classification and prediction, as well as cluster analysis. The course will focus on popular and advanced data mining algorithms and models including decision trees, support vector machines, neural networks, Bayesian networks, K-means and density-based spatial clustering (DBSCAN). Advanced topics include information retrieval, text mining, social network analysis, and applications in several fields. Moreover, the course will use popular data mining software to give students hands-on experience in mining data.

Prerequisites: IFSC 3320 or equivalent or consent of the instructor.