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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
Credits: 3
Type: Data Base

Course Description

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.

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