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| CS 6220 - Data Mining Techniques |
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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 Mutual Exclusion: This course carries a mutual exclusion with the following courses; you may not enroll in it if you have completed any of the following with a passing grade: DS 5230 This course carries a mutual exclusion with the following courses; you may not enroll in it if you have completed any of the following with a passing grade: DS 5230 Prerequisites: Graduate level CS 5800 Minimum Grade of C- or Graduate level CS 7800 Minimum Grade of C- |
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