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CS 6220 - Data Mining Techniques
Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set. 4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: GSCS Computer & Info Science Restrictions: Must be enrolled in one of the following Levels: Graduate Must be enrolled in one of the following Colleges: Khoury Coll of Comp Sciences Prerequisites: Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C-

CS 6220 - Data Mining Techniques

Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Restrictions:
Must be enrolled in one of the following Levels:
Graduate
Must be enrolled in one of the following Colleges:
Khoury Coll of Comp Sciences

Prerequisites:
Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C-

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Detailed Course Information

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