BUAN 463

Data Mining

The University of Scranton · UGRD · Fall 2026

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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 OIM 463 , EC 463 , and BUAN 463.)

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Class #scranton-BUAN463Fall 2026UGRD3 credits
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