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Data Mining (3 credits)

Data mining is the process of secondary analysis to search for unsuspected relationships that are of interest or value for decision making. It aims at discovering association rules, episode rules, sequential rules and other knowledge embedded in data, and is concerned with efficient data structures and algorithms that have good scaling properties. The course presents essential aspects of data mining, includes a data mining project and prepares students to program applications that use data mining techniques.

Pre-requisites

CS630 and permission of the instructor.


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