Foundations and Applications in Data Mining

3 credits

Foundations and applications of data mining. Topics include one or more of the following: data preparation and transformation, review of relevant quantitive methods, data characterization, generalization, classification and prediction, clustering, association, on-line analytical processing, data warehousing, data analysis, model development, interpretation. ***Prerequisite: CS320 and CS340, or written permission of instructor is required to register. ***