OM 542 - Data Mining

3 cr.

Data mining refers to an analytic process designed to explore “big data” in search of consistent patterns and/or systematic relationships between variables, and to validate the findings by applying the detected patterns to new data subsets. Using a hands-on data mining project, students will be involved in  a variety of phases that will involve data preparation, modeling, evaluation and application. The instructor will provide hands-on demonstrations using a variety of data mining techniques (e.g. classification, association analysis, clustering, text mining, anomaly detection, feature selections) using widely adopted data mining software tools.