Data miningto reduce Drop Out rate of student: Use of Classification and Prediction method

Abstract

Dropout rate of student is a big risk for both the educational institution as well as for the upcoming career of student. It is the need of today’s era to find out reason behind increasing drop out rate of students from the courses. This paper tries to identify the reasons behind increasing dropout rate of student. Taking into consideration the three reasons viz. average learners, family background and interest in subject, the dropout rate of student can be predicted and analyzed to retain students in the institution. Classification and prediction method of data mining is used to find the exact reason. Through mining available data of student, the factors that influence the academic development of student can be recognized.