Improve the Accuracy of Students Admission at Universities Using Machine Learning Techniques
Author:
Affiliation:
1. Jazan University,Department of Computer Science,Jazan,Kingdom of Saudi Arabia
2. Jazan University,Department of Information Technology,Jazan,Kingdom of Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9736326/9736336/09736349.pdf?arnumber=9736349
Cited by 9 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. Students’ attitudes towards an AI-based interview for university admissions: Scale development and intervention effects;Education and Information Technologies;2024-04-11
2. The Association Rule Methods and K-Means Clustering For Optimization Mapping Of New Students Admission;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21
3. Enhanced Student Admission Procedures at Universities Using Data Mining and Machine Learning Techniques;Applied Sciences;2024-01-29
4. Feature Extraction and Deep Neural Network Method Based Research on Cognitive Law of Students in Reading Comprehension in Chinese;2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII);2023-08-11
5. Altruistic: An Assistive Mobile Application Featuring Cluster Based University Admission and University Suggestion for the Bangladeshi Students;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
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