Prerequisite: SOM 591 or equivalent. Concepts and methods in data mining and analytics applicable to business settings leading to knowledge discovery from large data sets and better managerial decision making. Covers steps in the data mining process including data preparation, partitioning, model building, validation and selection. Analytics models include classification, prediction, association, clustering and neural net using both supervised/unsupervised approaches. Students will learn through a combination of lectures and hands-on short case applications using a mining software in a computer lab environment.

- Schedule of Classes

GBUS 607

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