Highly Reliable Robust Mining of Educational Data Features in Universities Based on Dynamic Semantic Memory Networks-Reference-Cited by-同舟云学术

Highly Reliable Robust Mining of Educational Data Features in Universities Based on Dynamic Semantic Memory Networks

Published:2023-09-22 Issue: Volume: Page:
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Zhou Dan,Baza Mohamed,Rasheed Amar

Funder

National Social Science Fund of China

Research Project of the Higher Education Teaching Reform of the National People's Committee of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02250-3.pdf

Reference20 articles.

1. Liang Z, Zhang G, Qiao S (2021) Research and Practice of Informatization Teaching Reform Based on Ubiquitous Learning Environment and Education Big Data. Open J Soc Sci 09(2):334–341

2. Wang J, Zhao B (2021) Intelligent system for interactive online education based on cloud big data analytics. J Intell Fuzzy Syst 163(2):40–55

3. Wang HJ, Wang Z (2022) Design of Simulation Teaching System Based on Virtual Reality. Comput Simulat 39(4):205–209

4. Matas-Terrón A, Leiva-Olivencia JJ, Negro-Martínez C (2020) Tendency to Use Big Data in Education Based on Its Opportunities According to Andalusian Education Students. Soc Sci 9(9):164–169

5. Almalki A, Wocjan P (2021) Accuracy analysis of educational data mining using feature selection algorithm. arXiv preprint arXiv:2107.10669 9(21):122-130

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