363D Introduction to Data Mining
Program:
Undergraduate Program
Division:
Electives Introduction to the topic of data mining: data preprocessing regression, classification, clustering, dimensionality reduction, association analysis and anomaly detection.
Prerequisites:
The following coursework with a grade of at least C-: Computer Science 311 or 311H or 313K or 313H, 314 or 314H or 315 or 315H, 310 or 310H or 429 or 429H; Mathematics 362K or Statistics and Scientific Computation 321; and Mathematics 340L or Statistics and Scientific Computation 329C.
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