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.
(Prerequisites MBA 501A and MBA 501C)
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