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.
2 classes found
Spring 2025
Component | Credits | Class | Status | Time | Day | Facility | Instructor |
---|---|---|---|---|---|---|---|
LEC | 3 | 10803 | Open | 12:45 p.m.–2:00 p.m. | TR | IF 1106 | Raphael C |
Regular Academic Session / In Person
LEC 10803: Total Seats: 150 / Available: 150 / Waitlisted: 0
Lecture (LEC)
Component | Credits | Class | Status | Time | Day | Facility | Instructor |
---|---|---|---|---|---|---|---|
LEC | 3 | 12208 | Open | 3:55 p.m.–5:10 p.m. | MW | RB 110 | Dalkilic M |
Regular Academic Session / In Person
LEC 12208: Total Seats: 115 / Available: 115 / Waitlisted: 0
Lecture (LEC)