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May 18, 2024
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BIF 524 - Data Mining
This course covers the fundamental techniques and applications for mining high-throughput data. Topics include related concepts from machine learning, information retrieval and statistics, techniques and algorithms for classification, clustering, and association rules. Prerequisite: (STA 205 OR BIF 205) AND Senior Standing.[3-0, 3 cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Department

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