SEMINAR
Rough Set Management of Uncertainty in Databases
Theresa Beaubouef
Department of Computer Science
Southeastern Louisiana University
ABSTRACT
Rough sets have been incorporated into various models and applications for representing ambiguity, vagueness, and imprecision. The theory has become well established as a mechanism for uncertainty management in a wide variety of applications including databases, information retrieval, data mining, logic, and industrial control.
This presentation will provide a brief introduction to and overview of the fundamental concepts of rough set theory and show how rough sets can be incorporated with relational databases into systems that will better model real-world applications. Some areas to be discussed include: modification of the underlying relational database model to incorporate rough set uncertainty, improvements via fuzzy sets, rough querying of crisp data, information theory, automated story generation, and rough set computer-assisted test generation.
WHERE: TEC 251
WHEN(day): Friday, November 19th, 1999
WHEN(time): 2:00 PM
EVERYBODY IS INVITED