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CS 465 - Data Mining
Knowledge Discovery from Data (KDD). Topics include knowledge discovery, data preparation, data warehousing, pattern mining, classification and regression, cluster analysis, outlier detection, mining complex data types. *Prerequisite: CS 340, CS 365, and CS 375.* 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

CS 465 - Data Mining

Knowledge Discovery from Data (KDD). Topics include knowledge discovery, data preparation, data warehousing, pattern mining, classification and regression, cluster analysis, outlier detection, mining complex data types. ***Prerequisite: CS 340, CS 365, and CS 375.***
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Examination

Computer Science Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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