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Nov 22, 2024
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ARCHIVED 2016-2017 Graduate Catalog [ARCHIVED CATALOG]
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CSC 564 - Data Mining 3.00 credit hours
An introduction to data mining in the context of KDD (Knowledge Discovery and Data Mining), covering the three main phases of the KDD process: preprocessing, data extraction and data analysis. Includes data cleaning and preparation techniques; extraction methods such as deviation detection, classification, dependency modeling and clustering; statistical analysis; and visualization techniques. Students may not receive credit for both CSC 464 and CSC 564.
Prerequisite(s): CSC 560 .
Click here for the schedule of classes.
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