EC 463 - Data Mining
(Prerequisite: STAT 252 )
Data mining refers to an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as “big data”) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. Hands-on applications of various data mining techniques (e.g. classification, association analysis, clustering, text mining, anomaly detection, feature selections) using data mining software tools will be used. Credits may not be earned for EC 463 and OIM 463 .