Predictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_040425.pdf
Reference21 articles.
1. Z. J. Kovačić, "Early Prediction of Student Success:Mining Students Enrollment Data," pp. 647-665, 2010.
2. S. M. Patil and D. P. Kumar, "Data Mining Model for Effective Data Analysis of Higher Education Students Using MapReduce," International Journal of Emerging Research in Management &Technology, vol. 6, no. 4, pp. 177-183, 2017.
3. K. B. Bhegade and S. V. Shinde, "Student Performance Prediction System with Educational Data Mining," International Journal of Computer Applications, vol. 146, no. 5, pp. 32-35, 2016.
4. A. M. Shahiri, W. Husain and N. A. Rashid, "A Review on Predicting Student's Performance using Data Mining Techniques," Procedia Computer Science, vol. 72, pp. 414-422, 2015.
5. G. S. Abu-Oda and A. M. El-Halees, "Data Mining in Higher Education : University Student Dropout Case Study," International Journal of Data Mining & Knowledge Management Process(IJDKP), vol. 5, no. 1, pp. 97-106, 2015.
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimised SMOTE-based Imbalanced Learning for Student Dropout Prediction;Arabian Journal for Science and Engineering;2024-07-09
2. Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques;Mathematics;2024-06-07
3. Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges;Revista Brasileira de Informática na Educação;2024-05-20
4. Investigação da Evasão Estudantil por meio da Mineração de Dados e Aprendizagem de Máquina: Um Mapeamento Sistemático;Revista Brasileira de Informática na Educação;2024-03-10
5. Optimizing Random Forest Classification Using Chi-Square and SMOTE-ENN on Student Drop-Out Data;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3