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.

2026FALLMETCS699A1, Sep 2nd to Dec 10th 2026

2026FALLMETCS699O2, Oct 27th to Dec 14th 2026

2027SPRGMETCS699A2, Jan 19th to Apr 29th 2027

2027SPRGMETCS699O1, Jan 12th to Mar 1st 2027