DSA 460 - Data Mining

[3 credit(s)]

Prerequisites: DSA 230. This course will examine data mining methods, technologies, techniques and algorithms. The course will also cover data quality issues, data reduction, data preparation, data pre-processing, model creation, model selection, and model evaluation. Sample data sets will be used to illustrate the course concepts by hands-on experimentation with data mining algorithms implementations and/or by using existing data mining software.

Semesters Offered: Every Fall and Spring

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