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CMPE 255

Data Mining

Description
Data representation and preprocessing, proximity, finding nearest neighbors, dimensionality reduction, exploratory analysis, association analysis and sequential patterns, supervised inference and prediction, classification, regression, model selection and evaluation, overfitting, clustering, advanced topics. Prerequisite: Classified graduate standing or instructor consent for non-MS SE majors

Grading
Normal Grade Rules

Units
3