New Course, Fall 2004

“Data and Text Mining for Business Intelligence”

BA7000

Instructor: Dr. Peter Westfall

Dept. of ISQS, Rawls College of Business

westfall@ba.ttu.edu

Time: Tues and Thurs, 2-3:20PM

Prerequisite: ISQS 5345 (B or better) or 5347 (B or better), or consent of the instructor.

Textbook: Data Mining Concepts and Techniques, by Han and Kamber.

This course will cover the basics of data and text mining, and how they are used in the business intelligence environment. Applications to be discussed include customer relationship management, fraud and terrorism detection, improvement of resource utilization, clickstream web mining, and credit scoring for loan applications. The software “Enterprise Miner” of SAS will be used extensively to illustrate use of decision trees, classification algorithms, neural nets, clustering, and other data and text mining techniques.

Students who take this course are eligible to receive a certification as a data mining professional from SAS Institute.