Mar 28, 2024  
2017-2018 Undergraduate College Catalog 
    
2017-2018 Undergraduate College Catalog [ARCHIVED CATALOG]

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DAT 330 - Data Mining


This course will introduce students to data mining and its applications in business and social problems. The course will cover supervised data mining techniques for building prediction models that include decision trees, random
decision forests, training and testing using multi-fold cross validation and using entropy measures for weighting features. It will also cover an unsupervised data mining technique called apriori that is used for discovering
patterns in data and exploring associations between variables.
Prerequisites: Complete CSI-270 or CSI-281.
Credits: 3



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