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MATG 558 - Data Mining

Description
Basic concepts of data mining. Fundamental aspects and techniques of analyzing large, complex data-sets. Topics include data objects and attributes, measuring data similarity, data visualization, data processing, apriori algorithm, classification methods, cluster analysis, outlier identification. Pre-requisite: MATG 611.
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Recent Semesters
Spring 2018
Offered
MTh
Avg. Class Size
10
Avg. Sections
1