DSC 411 Data Mining (3 credits)

Hours: 3 classroom + 0 lab/studio
Prerequisite(s): C- or better in DSC 311  ,CSC 364  and STA 250 .

 
Taught: Spring only
Discovering patterns in datasets; data mining concepts and methodologies including classification, clustering, associations, and anomaly detection; selecting appropriate data mining algorithms; experimenting with data mining tools, such as SPSS, R, Weka, or Oracle Data Miner.
Repeatable: No
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