Data Mining has emerged at the confluence of artificial intelligence, statistics, and databases as a technique for automatically discovering summary knowledge in large datasets. This course introduces students to the process and main techniques in data mining, including classification, clustering, and pattern mining approaches. Data mining systems and applications will also be covered, along with selected topics in current research. For more information, plase see http://www.cs.purdue.edu/homes/neville/courses/CS590D.html

Homepage	http://www.cs.purdue.edu/homes/neville/courses/CS590D.html
Usually Offered:	Fall
Credit:	3 hours (class)
Prerequisite:	STAT 511 or equivalent, CS 381 or equivalent, or permission of instructor
University Catalog:	CS 590D
Schedule:	Fall 2007 Instructor: Jennifer Neville