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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, and advanced topics. Prerequisite: CMPE 180A, classified standing, or instructor consent.

Grading
Normal Grade Rules

Units
3