A Novel Approach to Predict the Performance of Student and Knowledge Discovery Based on Previous Record

Nowadays; there are many higher educational institutes are established for education purpose. The main aim of higher education institutions is to provide standard and quality education to their students. There are many ways present to get the standard and quality education. To achieve of quality in educational system is by finding knowledge for prediction regarding the internal assessment and end semester examination. The internal assessment is evaluated by the faculty, which is based upon performance of student in educational task such as midsem, seminar, class attendance and so on. The end semester marks are based on scored (marks obtained) by the student in semester examination. In this paper, the classification task is used on student database by using the decision tree to extract knowledge that describes Prediction of performance of the students at the end of the semester, By using of previous database like Attendance of student in class, midsem and pervious academic records such as 12th and Graduation marks were collected from the student’s database. And to identify those students which are weak in study, so that faculty member give the extra and special attention on those students and they could better perform in the next semester exam.