Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/26642/mining-educational-data-to-predict-students%E2%80%99-future-performance-using-na%C3%AFve-bayesian-algorithm/nilaraye
ugc approved journals for social science, management journal, paper publication for engineering
Higher education institutions want not only to provide quality education to its students but also to advice career options according to the prediction of students' performance. The students' satisfactory performance takes an important role to give birth the best quality graduates who will become competent laborers for the country's economic and social development 2 . Students' performance like who will pass and who are likely to fail can be predicted with the help of lots of features available. The students want to realize their final performance before the announcement of their results and before they attend their semester exams. According to their predicted performance, the students can improve their skills by proper planning to lead to a good performance in their end examination. To provide a good advice to such kind of student, educational data mining system is implemented to predict students' final performance evaluated by considering factors which include IM, PSM, Basics, ACIC, ASS, CP, ATT, ACOC and ESM. In this research, an attempt has been made to explore Naïve Bayesian classification to predict the students' future performance.
