Units: 4
Hours: Lecture, 3 hours; term paper, 1.5 hours; project, 1.5 hours per week
Catalog page 205
Prerequisites: CS 141, CS 166; CS 170 is recommended
Description: Provides students with a broad background in the design and use of data mining algorithms and tools. Includes clustering, classification, association rules mining, time series clustering, and Web mining.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor. Credit is awarded for only one of CS 235 and CS 235V.