STAT 674 - Advanced Data Mining

3 Credit Hours

Interacting roles of statistical learning and data mining. Statistical data structures, measurement, visualization and exploration. Multidimensional scaling, classification methods, decision trees, neural networks, association rules and market basket analysis. Cluster analysis. Bayesian clustering, evaluation and selection of models and information criterion. Boosting and bagging. Support vector machines, optimization, search methods, and algorithms.
(RE) Prerequisite(s): 564, 579 and knowledge of programming language or consent of instructor.
Registration Restriction(s): Minimum student level – graduate.

Undergraduates

Graduate Students

STAT 674 - Advanced Data Mining