A Bigdata Approach For Classification And Prediction Of Student Result Using R

Abstract

— As of late the measure of information put away in instructive database is developing quickly. The put away database contains concealed data which if utilized guides change of understudy's execution and conduct. In this paper insightful exhibiting approach is used for removing this covered information. Information is gathered, a prescient model is figured, expectations are made, and the model is approved as extra information winds up noticeably accessible. The prescient models will help the teacher to see how well or how ineffectively the understudies in his/her class will perform, and consequently the educator can pick genuine instructive and instructional interventions to redesign understudy learning comes about. The usage is done in Hadoop system with MapReduce and Revolutionary R Enterprise RRE