University of Illinois Chicago 3-4 credits Finance Information and Decision Sciences
Data mining for business insights and decisions. Classification, trees, random forests, naïve Bayes, clustering, association rules, neural nets, recommender systems, text mining. Hands-on application to problems in finance, marketing, and operations. Course Information: 3 undergraduate hours. 4 graduate hours. Credit is not given for IDS 472 if the student has credit for IDS 572. Prerequisite(s): IDS 371 or FIN 330 or ECON 300 or ACTG 392 or STAT 382 or STAT 481 or the equivalent.
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