Graduate Data Mining ((3))

Catalog description

This course introduces concepts, principles, algorithms, techniques, performance, and applications of data mining and knowledge discovery. Topics may include data preprocessing, data visualization, data dissemination, the statistical foundations for data modeling, classification and prediction, clustering analysis, association and pattern analysis, and outlier detection. Each week lecture meets for 150 minutes.