Published Paper Details:

The economic success of every country depends on the quality of education imparted to its citizens. Hence education plays a vital role in building up any nation around the world. There is huge academic performance related data available, but they directly do not provide any useful information to educational managers and industry recruiters. It is often a challenging task to compare student performance and inter-disciplinary ranking. Through this paper, we demonstrate how data mining approaches can be used to compare and contrast student performance across various dimensions, and inter-department performance and analysis. Collective assesment of individual student performance can decipher information which can be used at various levels and situations for better decision making support. Knowledge mined from the huge pool of academic performance related data can be used by industry professionals at the time of recruitment to select the best candidates based on their requrements. It can also be used by academic professionals to compare the performance across the various departments and across universities. Above all, a waste of effort, time, and money can be avoided accordingly for both students, recruiters and educators.