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CS 422 - Data Mining

Course Description: 

This course will provide an introductory look at concepts and techniques in the field of data mining. After covering the introduction and terminologies to Data Mining, the techniques used to explore the large quantities of data for the discovery of meaningful rules and knowledge such as market basket analysis, nearest neighbor, decision trees, and clustering are covered. The students learn the material by implementing different techniques throughout the semester.

Credit: 

(3-0-3)

Attributes: 

(T)

Prerequisite: 

[(CS 331 with min. grade of D) OR (CS 401) OR (CS 403)]

Corequisite: 

None