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CS 6710 - Introduction to Data MiningCredit Hour(s): 3 Introduction to the fundamentals of data mining. Emphasis is on data preparation/evaluation/exploration, association rules, classification, clustering, OLAP/OLAM, pattern/model evaluation, anomaly detection. Students will develop and use data mining software. Department Managed Prerequisite(s): Undergraduate level CS 3100 Minimum Grade of D or Graduate level CS 5100 Minimum Grade of D Enrollment Restrictions: Must be enrolled in one of the following Levels: Graduate, Medical, Professional. Level: Graduate Schedule Type(s): Lecture; Lecture/Lab Combination
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