IE 4830: Data Mining
Credits: 3. Contact Hours: Lecture 3.
Prereq: IE 1480, IE 3120, STAT 2310
Foundations of classification, data clustering and association rule mining. Techniques for data mining, with focus on tree-based methods for classification (simple trees, random forest and boosted trees), ensemble learning, optimization algorithms and deep learning with neural networks. Performance metrics and resampling methods for evaluating model quality. A computing project in R is required.