IS4482
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Data Mining for Business Applications
Description
This course introduces the concepts, process, implementation, evaluation and issues of the basic methods for the widely adopted data mining tasks - classification, prediction, clustering and association rule modeling. Students will learn how to apply , improve, evaluate and explain these data mining models for real world applications.
Minimum Credits
3
Maximum Credits
3
Repeat for Credit
No
Required Requisite(s):
007359
Semesters Typically Offered
Fall and Spring