Enhanced data mining analysis in higher educational system using rough set theory

Abstract

One of the biggest challenges that higher education faces today is predicting the behavior of students. Institutions would like to know, something about the performances of the students group wise. Behrouz–Minaei-Bidgoli (2004) investigated a web based educational system using data mining techniques. He proposed a problem to investigate the performances of the students when the large data base of Students information system (SIS) is given. Generally students’ problems will be classified into different patterns based on the level of students like normal, average and below average. In this paper we attempt to analyze SIS database using rough set theory to predict the future of students.