Student’s performance prediction model and affecting factors using classification techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-10988-8.pdf
Reference17 articles.
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3. Anoopkumar, M. & Md Zubair Rahman, A.M.J. (2016) A review on data mining techniques and factors used in educational data mining to predict student amelioration. In: 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), (pp. 122–133). IEEE.
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5. Batista, G. E. A. P. A., & Monard, M. C. (2003). An analysis of four missing data treatment methods for supervised learning. Applied Artificial Intelligence, 17(5–6), 519–533.
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