Factor Based Approach to Develop a Framework for Enhancing Students’ Employability

Abstract

Higher education plays a major role in growth and development of individual as well as the economy. Good higher education leads good placement. There are various factors related to higher education like academic marks, technical test, technical interviews and personal interviews' marks that lead to the better placement. The main purpose of this research paper is to identify the association between different fields of higher education data. This is done by using association rule mining algorithm which will identify the associations and correlation between different data that student should focus upon to get better placement It has been noticed during the analysis that marks obtained by the students in combination with the pre placement activities have more association with salary grade or placement package. The current results can be very helpful for academic institutions in planning their course structure and teaching pedagogy as the overall aim of all professional colleges is to make the students employable.