DATA MINING

Catalog description

Data mining is the process of finding hidden patterns and rules in large datasets. This course is a graduate-level survey of basic concepts, methods, tools, and techniques related to data mining. Topics include data preprocessing; data warehousing and online analytical processing; data cube technology; mining frequent patterns, associations, and correlations; advanced pattern mining; and outlier detection. Prerequisite: COMP5700 (3 credits)