CSCE A662 — Advanced Data Mining 3 Credits
Surveys and describes application of techniques for data mining including classification, clustering and association rule mining. Covers rule-based, tree-based, statistical and regression approaches. Requires a project involving an existing data set, including integration, formatting, conceptualization, hypothesis testing, analysis, evaluation and presentation of results. Special Note: Not available for credit to students who have completed CSCE A462 . Registration Restrictions: Graduate standing May Be Stacked With: CSCE A462