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#SctTypeSeatsUnits
11660 01 Lecture 24 3.00
Days Location
MON TUE WED THU FRI SAT Dion 303
Instructor: Razieh Fathi Class status:
Prerequisite: CIS 360; C or Better
Enrollment Section
Class instruction mode: In Person