Intellectual performance analysis of students by comparing various data mining techniques

Abstract

Student's performance data is an intensely important educational data which needs to be analyzed and studied for building better constructive models to improve education. The field which deals with this, to get us better educational model is known as Educational Data Mining (EDM). Educational Data Mining is concerned with helping educational organisations by applying data mining algorithms on educational data. Our research tries to correlate multiple social factors which can theoretically affect a student's graduate education. We try to find a data mining model to best classify and predict students performance based on this correlation.