BUSN 6828 - Business Applications of Data Mining

Summer 2010 Registration BUSN 6828
Addresses statistical approaches to the very large data sets increasingly common in business applications such as internet-based business, fraud detection, credit scoring and market segmentation. Topics include limitations of classical statistical when applied to large data sets, alternative approaches and applications of key data mining algorithms such as logistic regression, decision trees and cluster analysis. Emphasis is placed on proper choice of method, interpretation of the results and understanding of the strengths and limitations of the methods. Students are expected to analyze and report on a variety of data sets drawn from business applications areas. Note: cannot receive credit for both BUSN 6828 and DSCI 6828. Prereq: BUSN 6530 or permission of instructor. Cross-listed with DSCI 6828.Semester Hours: 3to 3
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