Student’s Academic Performance Prediction Using Ensemble Methods Through Educational Data Mining
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9669-5_20
Reference12 articles.
1. Amrieh EA, Hamtini T, Aljarah I (2015) IEEE Jordan conference on applied electrical engineering and computing technologies (AEECT), pp 1–5
2. Hanna M (2004) Data mining in the e-learning domain. Campus-Wide Inf Syst 21(1):29–34
3. Costa EB et al (2017) Evaluating the effectiveness of educational data mining techniques for early prediction of students’ academic failure in introductory. Comput Hum Behav 73:247–256
4. Romero C, Ventura S (2007) Educational data mining: a survey from 1995 to 2005. Expert Syst Appl 33(1):135–146
5. Trstenjak B, Dženana (2014) Determining the impact of demographic features in predicting student success in Croatia. In: 2014 IEEE international conference on information and communication technology, electronics and microelectronics (MIPRO 2014), pp 1222–1227
Cited by 2 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. Impact of class imbalance ratio on ensemble methods for imbalance problem: A new perspective;Journal of Intelligent & Fuzzy Systems;2023-12-02
2. Predicting students’ academic performance by mining the educational data through machine learning-based classification model;Education and Information Technologies;2023-04-15
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