期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：12
出版社：S&S Publications
摘要：In recent years data mining has been successfully implemented in the business world. Evaluatingstudents' academic success is becoming increasingly challenging, its use is intended for identification and extraction ofnew and potentially valuable knowledge from the data. Predicting educational outcome is a practical alternativeheterogeneous environment. Performance prediction models can be built by applying data mining techniques toenrolment data. In this paper we present an Naive Bayes algorithm (NB) approach to predict graduating cumulativeGrade Point Average based on applicant data collected from the surveys conducted during the summer semester at theUniversity of Tuzla, the Faculty of Economics, academic year 2010-2011, among first year students and the data takenduring the enrolment. The Naive Bayes algorithm is used to discover the most suited way to predict student's success.
