CIS 430: Data Mining&Knowl Discov - fall
Prerequisite: CIS 360; C or Better
General Education requirement: Natural Science Technology
Designed to provide students with a solid background in data mining and knowledge discovery concepts, tools, and methodology, as well as their applicability to real world problems. A variety of data mining techniques will be explored including memory-based reasoning, cluster detection, classification, neural networks, and finding understandable knowledge in large sets of real world examples. Some related topics such as web and multimedia mining will be discussed. Students will gain hands-on experience in data mining techniques using various data mining software packages and tools.
| Class# | Sct | Type | Seats | Units | ||||
|---|---|---|---|---|---|---|---|---|
| 6037 | 01 | Lecture | 30 | 3.00 | ||||
| Days | Start | End | Location | |||||
| MON TUE WED THU FRI SAT | 1:00 PM EDT | 1:50 PM EDT | Dion 311 | |||||
| Instructor: Ming Shao | Class status: O | |||||||
| Prerequisite: CIS 360; C or Better | ||||||||
| Enrollment Section | ||||||||
| Class instruction mode: In Person | ||||||||