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| CSCI 7350 - Data Mining |
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Prerequisite: Fundamental courses in the Computational Science Ph.D. program and CSCI 6020 or equivalent or consent of instructor. Introduction to concepts, theories, techniques, issues, and applications of data mining. Data preprocessing, association rule analysis, classification analysis, cluster and outlier analysis, deviation detection, statistical modeling, consideration of emergent technologies.
3.000 Credit hours Levels: Graduate Schedule Types: Lecture Computer Science Department Course Attributes: College of Basic & Applied |
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