Data Mining
Data Mining
Prerequisites: MET CS 521 & MET CS 546; 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. Students learn underlying theories of data mining algorithms in the class and they practice those algorithms through assignments and a semester-long class project using R. After finishing this course, students will be able to independently perform data mining tasks to solve real-world problems.
2024FALLMETCS699A2, Sep 3rd to Dec 10th 2024
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| R | 06:00 PM | 08:45 PM | HAR | 322 |
2024FALLMETCS699A3, Sep 3rd to Dec 10th 2024
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| W | 02:30 PM | 05:15 PM | COM | 213 |
2024FALLMETCS699O2, Oct 29th to Dec 16th 2024
| Days | Start | End | Type | Bldg | Room |
|---|---|---|---|---|---|
| ARR | 12:00 AM | 12:00 AM |
Format & Syllabus: