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CS 455 - Data Mining |
Introduction to data mining algorithms, implementations, and applications. Topics include data preprocessing, clustering analysis, data classification, mining association rules, web mining, and new applications in data mining. Machine learning, supervised learning, and unsupervised learning.
Prerequisite: CS 121 with a C- or better grade.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Study Abroad Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: Undergraduate level CS 121 Minimum Grade of C- |
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