Introduction to Data Mining

Course content

Concepts of data mining. Data preprocessing. Data warehousing and OLAP for data mining. Association, correlation, and frequent pattern analysis. Classification. Cluster and outlier analysis. Mining time-series and sequence data. Text mining and web mining. Visual data mining. Industry efforts and social impacts. Applications of data mining.