STAT 574 - Data Mining Methods and Applications

3 Credit Hours

Understanding and application of data mining methods. Data preparation; exploratory data analysis and visualization; cluster analysis; logistic regression; decision trees; neural networks; association rules; model assessment; and other topics. Applications to real world data. Use of standard computer packages.
(RE) Prerequisite(s): 532 or 538 or 571 or consent of instructor.

Undergraduates

Graduate Students

STAT 574 - Data Mining Methods and Applications