This course introduces basic data mining concepts and techniques for discoverying interesting patterns hidden in large-scale data sets, focusing on issues relating to scalability and efficiency. Topics covered in this course include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, graph, multimedia, and web data.

Graduate standing, or instructor consent.

Han and Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann, 2006.