Intelligent context driven data mining to analyse student performance in higher educational institutions (HEIs)

Abstract

Context driven research has been conducted by many. However, very less work has been conducted in constructing a context driven data mining that helps in HEI decision-making. A Student Information System that interacts with Students, Faculties, Student Parents and Management might not have enough information of the background. Context driven data mining is an application intelligent enough to detect and examine the context from different sources and take suitable actions to improve performance and efficiency of decision-making by discovering the hidden factors. This paper recommends a context driven data mining method for understanding student performance from Student Information System in HEIs.