CSC 454 Data Mining Theory

Credits: 3

A study of the fundamental ideas and issues involved in predicting and describing data. A survey of modern techniques used for converting raw data into useful information. The techniques and theory covered will involve: classification, clustering, association analysis and anomaly detection. The course will emphasize scientific applications, with the goal of extracting information from a data set and transforming it to useful information through the steps of: Preprocessing, Data Mining and Postprocessing

Prerequisites: CSC 215 with a “C” or higher
Pre or Corequisites: MATH 381
Notes: This course is cross-listed CSC 554.

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