CIS 430 - Business Data Mining
Prerequisites: (CIS 212 or 240 or INF 104 or TEC 161) and (QMB 200 or STA 270), all with a grade of 'C' or above.
Available in: A
Type: Data Base
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.