Data Mining Analysis on Student’s Academic Performance through Exploration of Student’s Background and Social Activities-Reference-Cited by-同舟云学术

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Data Mining Analysis on Student’s Academic Performance through Exploration of Student’s Background and Social Activities

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA)
language:
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Author:

Kiu Ching-Chieh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8766334/8776677/08776809.pdf?arnumber=8776809

Cited by 26 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. Evaluation of Random Forest and Support Vector Machine Models in Educational Data Mining;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

2. Systematic Review and Analysis of EDM for Predicting the Academic Performance of Students;Journal of The Institution of Engineers (India): Series B;2024-02-04

3. Schools Students Performance with Artificial Intelligence Machine Learning: Features Taxonomy, Methods and Evaluation;Machine Learning in Educational Sciences;2024

4. Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining;Communications in Computer and Information Science;2024

5. An Imbalanced Data Robust Classification Model for Student Achievement Prediction;2023 IEEE Smart World Congress (SWC);2023-08-28

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