Data Mining


Data Mining

MET CS 699 (4 credits)

This course aims to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, ?regressions and clustering. We will discuss basic data mining algorithms in the class, and students will practice data mining techniques using Python or R. Prereq: CS 521, and CS 546 and either CS 579 or CS 669. Or instructor's consent.

2024SPRGMETCS699 A1, Jan 22nd to Apr 29th 2024

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM CAS 203

2024SPRGMETCS699 A2, Jan 24th to May 1st 2024

Days Start End Type Bldg Room
W 02:30 PM 05:15 PM CAS 213

2023FALLMETCS699 A1, Sep 6th to Dec 6th 2023

Days Start End Type Bldg Room
W 02:30 PM 05:15 PM KCB 102

2023FALLMETCS699 A2, Sep 7th to Dec 7th 2023

Days Start End Type Bldg Room
R 06:00 PM 08:45 PM SOC B57

2023FALLMETCS699 O2, Oct 31st to Dec 18th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SUM1METCS699SC1, May 25th to Aug 10th 2023

Days Start End Type Bldg Room
R 06:00 PM 09:30 PM STH 113

2023SUM1METCS699SO1, May 9th to Jun 26th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

Format & Syllabus: