Fall 2017: Theory and Applications of Data Mining [CS584] 

General Description and Preliminary List of Topics 

Data mining is the process of automatically discovering useful information in large data repositories. The course covers key concepts and algorithms at the core of data mining.

Topics include: classification, clustering, association analysis, anomaly detection. 


Assignments: 15% 

Midterm: 25% 

Final: 25% 

Project: 35% 

Exams are closed book. Assignments must be performed individually. Group work is NOT allowed, unless otherwise stated by the instructor. Any deviation from this policy will be considered a violation of the GMU Honor Code In addition, the CS department has its own Honor Code policies. Any deviation from this is also considered an Honor Code violation.