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Jul 09, 2024
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CIS 660 - Data Mining[4 credit(s)] Prerequisites: CIS 530. Must be admitted to the College of Engineering as a degree-seeking graduate student to be eligible for this course. 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.
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