CS 628 - DATA MINING

Stanley and Karen Pigman College of Engineering

Credits: 3

The course will introduce the fundamental principles and main techniques in the area of data mining and its applications. The topics covered include association rule mining, clustering, classification, feature selection, similarity search, data cleaning, privacy and security issues, as well as a wide spectrum of data mining applications in the area of biomedical informatics, bioinformatics, financial market study, image processing, network monitoring and social service analysis.

Prerequisite(s):
Prereq: CS 515, CS 505, or consent of instructor.