Introduction to Data Mining ((3 Credits))

Catalog description

Focus will be on descriptive analytical methods, such as clustering: K nearest neighbor, K-means and classification and predictive methods such as decision trees, Bayesian classification and support vector machines. Advanced AI programming language will be used throughout the course. Three hours of lecture per week