Data Mining

Catalog description

The principles and techniques of data mining. Topics include: data preprocessing, association analysis, classification, clustering, and anomaly detection. Prerequisite(s): CSCI 3430 >=C and MATH 3250 >=C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.