AN ANALYSIS ON PREDICTION OF SUPERIOR SCHOOLING APPRENTICE ACCOMPLISHMENT IN INSTRUCTIVE DATA MINING
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 7)Publication Date: 2017-07-30
Authors : Srinivasan B. Abinaya V.;
Page : 873-876
Keywords : : Educational data mining; Data Mining Algorithm; Naïve Bayesian Classifier.;
Abstract
Educational Data Mining is used to predict the potential learning behavior of the learner. One of the biggest challenges that higher education faces today is predicting the paths of students. Predicting the performance of a student is a great concern to the higher education managements. [15] The possibility of this paper is to identify the factors influencing the performance of students in final examinations and find out a suitable data mining algorithm to predict the grade of students. [15] This work will help the educational institutions to classify the students who are at risk and to provide better further training for the weak students. Data mining is the better tool to predict the end result of the student. [13]
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Last modified: 2017-07-31 20:26:49