Data Mining

Data Mining

MET CS 699 (4 credits)

Prerequisites: MET CS 521, MET LB 103 and MET LB 104; and either MET CS 579 or MET CS 669; or consent of instructor. - Study basic concepts and techniques of data mining. Topics include data preparation, classification, performance evaluation, association rule mining, regression and clustering. You will learn underlying theories of data mining algorithms in the class and practice those algorithms through assignments and a semester-long class project using R. After finishing this course, you will be able to independently perform data mining tasks to solve real-world problems.

2026SPRGMETCS699A2, Jan 20th to Apr 30th 2026

2026SPRGMETCS699O1, Jan 13th to Mar 2nd 2026