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||9871||Closed||5:45 p.m.–7:00 p.m.||TR||IF 1104||Raphael C
Regular Academic Session / In Person
LEC 9871: Total Seats: 40 / Available: 0 / Waitlisted: 6Show Details for section 9871