Students Academic Performance Prediction with k-Nearest Neighbor and C4.5 on SMOTE-balanced data-Reference-Cited by-同舟云学术

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Students Academic Performance Prediction with k-Nearest Neighbor and C4.5 on SMOTE-balanced data

Published:2020-12-10 Issue: Volume: Page:
ISSN:
Container-title:2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)
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Author:

Pujianto Utomo,Agung Prasetyo Wisnu,Rakhmat Taufani Agusta

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9315288/9315328/09315439.pdf?arnumber=9315439

Cited by 10 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. Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes;The Journal of Supercomputing;2024-04-10

2. A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network;PeerJ Computer Science;2024-02-15

3. Classification of Student Work Readiness Using the Decision Tree and KNN Methods;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

4. At-Risk Students Identification based on Machine Learning Approach: A Case Study of Computer Science Bachelor Student in Tunisia;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

5. An Evaluation of Prediction Method for Educational Data Mining Based on Dimensionality Reduction;IoT Based Control Networks and Intelligent Systems;2023-11-28

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