Business Data Mining.

Catalog description

(3) A. Formerly CIS 430. Prerequisites: ( BUS 206 or INF 104 or TEC 161 ) and ( STA 215 or STA 270 ), all with a grade of C or above. Introduces the basic concepts and practical business applications of data mining. Topics include: data types, data patterns, data preprocessing, data cleaning, outlier analysis, features reduction, feature discretization, data integration, data mining process, model estimation, Bayesian inference, regression analysis, classification, and prediction.