CSCI-6390

Database Mining

This course will provide an introductory survey of the main topics in data mining and knowledge discovery in databases (KDD), including: classification, clustering, association rules, sequence mining, similarity search, deviation detection, and so on. Emphasis will be on the algorithmic and system issues in KDD, as well as on applications such as Web mining, multimedia mining, bioinformatics, geographical information systems, etc. Prerequisites: CSCI-2300 Data Structures and Algorithms and MATH-2800 Discrete Structures. Fall term annually.

3 credit hours