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An algorithms-focused introduction to data mining, the extraction of useful patterns from large datasets. Students examine techniques for discovering associations and correlations, classifying and clustering data at scale, and detecting outliers, treating each method's algorithmic foundations alongside its application to real-world problems.
- Level
- Graduate
- Department
- CAS
- Credits
- 4
- Prerequisites
- CS 112 & 330 & 365
Last verified: August 22, 2026
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