Prediction of Mu Student’s Performance Using Data Mining Technique

The role of technology in education industry is increasing day by day specially after reaching the growth rate of the IT industry to the saturation point. That is why, even AICTE has closed the affiliation of engineering colleges in number of states. So, education industry can change their plan to survive in this environment by using data mining techniques to identify the outstanding students as well as to pay the extra attention to the poor performer students to improve their performance. As a Mewarian, this is our first duty to develop such type of system which can predict the performance of the MU students by learning their past results in terms of 10th marks, 12th marks, previous semester marks, current semester PCA marks and attendance record using data mining classification techniques of Naïve Bayes classification and J48 classification techniques. Keywords— Mu, Data mining, Prediction, Naive ayes, J48, Performance, Classification