Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

Correction to: A Study on Religious Beliefs among College Students Based on FP-Growth Algorithm

Authors
Weihua Yao1, Shunfei Yan1, *, Yanshuang Wang1
1Xi’an University of Technology, School of Economics and Management, Xi’an, China
*Corresponding author.
Corresponding Author
Shunfei Yan
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-276-7_55How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
17 February 2024
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_55How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Weihua Yao
AU  - Shunfei Yan
AU  - Yanshuang Wang
PY  - 2024
DA  - 2024/02/17
TI  - Correction to: A Study on Religious Beliefs among College Students Based on FP-Growth Algorithm
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - C1
EP  - C1
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_55
DO  - 10.2991/978-94-6463-276-7_55
ID  - Yao2024
ER  -