CS 465 - Data Mining

This course introduces principles of data mining methods for extracting knowledge from data. Topics include introduction to the knowledge discovery process, data preprocessing, visualization, machine learning and statistical methods for classification, regression, association mining and cluster analysis. Students gain hands-on experience in developing data mining solution to scientific and business problems. Social and ethical implications of data mining applications are considered.
Lecture
Credits: 3
Prerequisite: CS 201
Corequisite: MTH 270
Offered in Fall Semester, Alternate Years