Educational Data Mining: Classifier Comparison for the Course Selection Process

Abstract

The education system in India & across the world has shown a horizontal shift instead of vertical development in one specific domain. The Engineering student in current scenario try to accumulate knowledge from various interdisciplinary course’s and develop application in respective area of study [2]–[4]. This interdisciplinary growth can also be supported and compared using various data mining techniques for future prediction and provide a mathematical foundation for the current selection of the course. This paper emphasis on one such study done for opting the open elective course at leading private university. The data mining process review, apply and compare the classification algorithms like K-NN, Support Vector machine with radial basis kernel. The paper also aims at adopting the data mining techniques as the mathematical foundation for the heuristic process being used till date.