STAT 4310:Statistical Data Mining

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: STAT 3130 or permission of the instructor.
Data Mining is an information extraction activity whose goal is to discover hidden facts contained in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. The process includes data selection, cleaning, coding, using different statistical, pattern recognition and machine learning techniques, and reporting and visualization of the generated structures. The course will cover all these issues and will illustrate the whole process by examples of practical applications. The students will use recent SAS Enterprise Miner software.