期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：10
页码：19301
DOI：10.15680/IJIRSET.2017.0610001
出版社：S&S Publications
摘要：Educational Data Mining is an emerging research area with vast algorithms to analyse hidden patterns instudent’s data and discover new knowledge for academic counselling and improvement. Recent deployment ofClassification and Clustering algorithms on educational data has proven to be more successful in classifying datainstances correctly. One key focus of higher education is to provide quality education and guidance throughout theacademic year. This can only be achieved if student’sfailure rate can be averted in final exams by determining underperformingstudents earlier on in the semester and sampled for academic counselling and recommendation by schoolauthorities. This study presents a Naïve Bayes Classification approach in predicting student’s final grade. The Classifiermodel was built on the training dataset of previous students who offered the same course with a predictor accuracy rateof 88%. This deployed algorithm will help under-performing students to improve their final exam score.
关键词：Educational Data Mining; Naïve Bayes Classification; Performance; Prediction
