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
|LEC||3||29661||Open||4:00 p.m.–5:15 p.m.||TR||LH 035||Ye Y
Regular Academic Session / In Person
LEC 29661: Total Seats: 50 / Available: 16 / Waitlisted: 0Show Details for section 29661