An heuristic feature selection algorithm to evaluate academic performance of students

• Main Authors: Ajibade, S. S. M., Ahmad, N. B., Shamsuddin, S. M.
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/90771/1/SamuelSomaAjibade2019_AnHeuristicFeatureSelection.pdf; http://eprints.utm.my/id/eprint/90771/; http://dx.doi.org/10.1109/ICSGRC.2019.8837067

The value of schooling and academic performance of student is the topmost priority of all academic institutions. Educational Data Mining (EDM) is an evolving area of research which aids academic institutions to enhance their student's performances. Feature Selection algorithms eradicates inapt...