MKRF Stacking-Voting: A Data Mining Technique for Predicting Educational Satisfaction Level of Bangladeshis Student During Pandemic-Reference-Cited by-同舟云学术

MKRF Stacking-Voting: A Data Mining Technique for Predicting Educational Satisfaction Level of Bangladeshis Student During Pandemic

Published:2022-04-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 7th International conference for Convergence in Technology (I2CT)
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Author:

Imam Bijoy Md. Hasan¹,Pramanik Anik¹,Rahman Md. Sadekur¹,Hasan Mehedi¹,Akhi Sumiya Alam¹,Rahman Md. Mahbubur¹

Affiliation:

1. Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1207

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823959/9823960/09824357.pdf?arnumber=9824357

Reference23 articles.

1. Regression analysis of student academic performance using deep learning

2. Comparative Analysis of Supervised Machine Learning Algorithms to Build a Predictive Model for Evaluating Students’ Performance

3. A Stupendous Statistics On The Pandemic Impact On All Sectors Of Bangladesh;bijoy;The International Conference on Advances in Multi-Disciplinary Sciences and Engineering Research (ICAMSER-2021),2021

4. Refute the Decision of Auto-Promotion and Real Facts of Digital Online Classes During the Pandemic in Bangladesh

5. Supervised Method Pursued For Overall Impact of Online Class During Lockdown in Bangladesh

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