STAT 5566 - Data Mining

3 Semester Hour(s)

Data mining is a fast growing interdisciplinary field between Statistics and Computer Science due to the emergence of massive data sets. This course covers an information extraction activity whose goal is to discover hidden facts from large data warehouses. A number of data mining task including description, classification, selection, estimation, prediction, and affinity grouping and clustering will be discussed. Also students will learn how to use data mining software to perform data mining functionalities. This course contains additional graduate-level content equivalent to a one-hour recitation with the instructor which will further investigate the theoretical aspects of or applications of the topics discussed in the course.

Prerequisite(s): STAT 4459.