ODS 370 Data Mining

3 Credit(s)

An examination of data mining with emphasis placed on machine learning topics such as classification using Bayesian approaches, Neural Networks, CART, Decision Trees, Regression, Nearest Neighbor and other techniques. Use of bootstrap methods, bagging and boosting will be covered. Data preparation on how to handle missing data and evaluation concepts such as cross validation, ROC and confusion matrices will be covered. Three lecture hours per week. Prerequisite: BUS 170