• Course Code: CMPS452
  • Credits: 3
  • Hours Distribution: (3Crs.:2Lec,3Lab)
  • Course Type: Departmental Elective (DE)

Course Description

This course introduces and studies the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, decision tables, decision trees, classification rules, association rules, clustering, statistical modeling, and linear models. Pre-req.: CMPS 342 & Math 242.