Masters and Doctor of Philosophy admission prediction of Bangladeshi students into different classes of universities

Islam Suvon, M.N. orcid.org/0000-0001-9962-315X, Siam, S.C. orcid.org/0000-0003-3557-1340, Ferdous, M. orcid.org/0000-0001-8581-8183 et al. (2 more authors) (2022) Masters and Doctor of Philosophy admission prediction of Bangladeshi students into different classes of universities. IAES International Journal of Artificial Intelligence (IJ-AI), 11 (4). pp. 1545-1553. ISSN 2089-4872

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Item Type: Article
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© 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution-ShareAlike Licence (https://creativecommons.org/licenses/by-sa/4.0/)

Keywords: Data normalization; Decision tree; Educational data mining ; Oversampling; Random forest
Dates:
  • Published: December 2022
  • Published (online): 4 December 2022
  • Accepted: 8 July 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 May 2023 09:58
Last Modified: 24 May 2023 09:58
Status: Published
Publisher: Institute of Advanced Engineering and Science
Refereed: Yes
Identification Number: 10.11591/ijai.v11.i4.pp1545-1553
Open Archives Initiative ID (OAI ID):

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