CSCI 5535G - Data Mining (3 Credit Hours)

Lecture Hours: 3 Lab Hours: 0
Study of data mining functionalities including characterization and discrimination, classification and prediction, cluster analysis, association analysis, outlier analysis, evolution analysis; data mining system architectures; data mining query languages; and OLAP technology for data mining. Multiple projects encompassing a number of the discussed concepts. Graduate students will be required to complete individual advanced level research in an area beyond the scope of the undergraduate requirements that demonstrates a higher level of mastery in the subject matter with additional required deliverables representative of graduate level work, as determined by the instructor and graded using a rubric assessment tool.

Cross Listing(s): CSCI 5535.
Restriction(s): NO Undergraduate Level Students