Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review-Reference-Cited by-同舟云学术

Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review

Published:2023 Issue: Volume:11 Page:1970-1989
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdul Bujang Siti Dianah¹,Selamat Ali¹^ORCID,Krejcar Ondrej¹,Mohamed Farhan²^ORCID,Cheng Lim Kok³,Chiu Po Chan⁴^ORCID,Fujita Hamido⁵^ORCID

Affiliation:

1. Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Kuala Lumpur, Kuala Lumpur, Malaysia

2. School of Computing, Faculty of Engineering, Malaysia & Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia

3. College of Computing and Informatics, Universiti Tenaga Nasional Malaysia, Kajang, Selangor, Malaysia

4. Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia

5. Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic

Funder

Fundamental Research Grant Scheme (FRGS) through the Ministry of Education

Faculty of Informatics and Management, University of Hradec Kralove, through the Specific Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/09965398.pdf?arnumber=9965398

Reference78 articles.

1. CLASSIFICATION OF IMBALANCED DATA: A REVIEW

2. Student performance prediction using Support Vector Machine and K-Nearest Neighbor

3. Classification of Imbalanced Data:Review of Methods and Applications

4. Evaluating the effectiveness of educational data mining techniques for early prediction of students' academic failure in introductory programming courses

5. A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition

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