STAT 577 - Data Mining Methods and Applications

3 Credit Hours

Understanding and application of data mining methods. Data preparation; exploratory data analysis and data visualization; predictive modeling using generalized linear models, decision trees, neural networks; model assessment; cluster analysis; association analysis; and other topics. Use of standard computer packages.
Registration Restriction(s): Minimum student level – graduate.

Undergraduates

Graduate Students

STAT 577 - Data Mining Methods and Applications