Genetic algorithm based feature selection with ensemble methods for student academic performance prediction

Student academic performance is an important factor that affect the achievement of an educational institution. Educational Data Mining (EDM) is a data mining process that is applied to explore educational data that can produce information related to student academic performance. The knowledge produc...

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Bibliographic Details
Main Authors: Al Farissi, Al Farissi, Mohamed Dahlan, Halina, Samsuryadi, Samsuryadi
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/92480/1/HalinaMohamedDahlan2020_GeneticAlgorithmBasedFeatureSelection.pdf
http://eprints.utm.my/id/eprint/92480/
http://dx.doi.org/10.1088/1742-6596/1500/1/012110
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Institution: Universiti Teknologi Malaysia
Language: English