Introduction to Data Mining

Catalog description

This course introduces fundamental techniques in data mining, i.e., the techniques that extract useful knowledge from a large amount of data. Topics include data preprocessing, exploratory data analysis, association rule mining, clustering, classification and anomaly detection. Students are expected to gain the skills to formulate data mining problems, solve the problems using data mining techniques and interpret the output.