Fundamental concepts and techniques of data mining, including data attributes, data visualization, data pre-processing, mining frequent patterns, association and correlation, classification methods, and cluster analysis. Advanced topics include outlier detection, stream mining, and social media data mining. CSC 577, a graduate-level course, requires additional readings and a course project.
| CRN | Course | Course Title | Term | Credits | Status | ||||
| 28917 | CSC 577 | INTRO TO DATA MINING | Fall 2012 | 4.0 | Open | ||||
| Schedule: | Day | Begin | End | Building | Room | ||||
| TR | 940 | 1055 | CSB | 601 | |||||
| Enrollment: | Sec Enroll | Sec Cap | Total Enroll | Total Cap | Updated | ||||
| 14 | 999 | 28 | 999 | 03/15/2012 | |||||