CSCI-B 565 DATA MINING (3 CR.)
Algorithmic and practical aspects of discovering patterns and relationships in large databases. The course also provides hands-on experience in data analysis, clustering and prediction. Topics include: data preprocessing and exploration, data warehousing, association rule mining, classification and regression, clustering, anomaly detection, human factors and social issues in data mining.
1 classes found
Fall 2024
Component | Credits | Class | Status | Time | Day | Facility | Instructor |
---|---|---|---|---|---|---|---|
LEC | 3 | 7100 | Open |
Regular Academic Session / In Person
LEC 7100: Total Seats: 241 / Available: 156 / Waitlisted: 0
Lecture (LEC)