Concepts, principles, and techniques of data mining and knowledge discovery. Topics include, but are not limited to, classification and inductive learning, association rule mining, neural network and Bayes methods, cluster analysis, rough sets and fuzzy sets approaches for data mining, statistical methods for data mining, model and metrics for evaluating data mining results, etc.