CS 640. Data Mining Methodologies.
Prerequisite: CS 620. This course will provide an in-depth study of data mining methodologies and techniques. Topics include cluster analysis, similarity measures, agglomerative hierarchical clustering, partitional clustering, incremental clustering, decision trees, decision rules, associative-classification method, association rules, multidimensional association-rules mining, mining sequence patterns, artificial neural networks, genetic algorithms, fuzzy sets and fuzzy logic, and visualization methods.