STAT 6850 - Applied Data Mining

Examine the philosophy and practice the methods of using gigantic data collections to discover actionable information. Topics include: Statistical evaluation of gigantic data collections; data warehousing; data form; data transformations; missing data; data reduction; application of neural networks; genetic algorithms; and hybrid models.

Prerequisites/Corequisites: Prerequisite: Knowledge of a statistical software package.

Credits: 3 hours

Notes: Open to Graduate students only.