CIS 530: Advanced Data Mining - spring
Coverage of advanced topics of data mining and its applications. The course will review related mathematics and then focus on data mining core algorithms and advanced modeling including regression, dimensionality reduction, support vector machines, clustering, graph theory, and frequent pattern mining. The course will also explore several real-world problems and discuss strategies for large-scale data. Requires pre-knowledge from an undergraduate course on algorithms and data structures.
| Class# | Sct | Type | Seats | Units |
|---|---|---|---|---|
| 12501 | 01 | Lecture | 50 | 3.00 |
| Days | Start | End | ||
| MON TUE WED THU FRI SAT | 11:00 AM EST | 12:15 PM EST | ||
| Instructor: Hua Fang | Class status: C | |||
| Enrollment Section | ||||
| Class instruction mode: In Person | ||||