IDS 472 - Business Data Mining
Campus: Chicago
Description:
Data mining for business insights and decisions. Classification, trees, random forests, naive 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 the equivalent.
Option 1
Number of Required Visit(s): 0Course Level: Graduate
Credit: 3
Term(s): Spring
Option 2
Number of Required Visit(s): 0Course Level: Graduate
Credit: 4
Term(s): Spring
