Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

Peer-Review Statements

Authors
Azah Kamilah Draman Mud1, *, Mohd Soperi Bin Mohd Zahid2, Dayang Norhayati Abang Jawawi2, Fong Peng Chew3
1Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
2Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
3University of Malaya, Kuala Lumpur, Malaysia
*Corresponding author. Email: azah@utem.edu.my
Corresponding Author
Azah Kamilah Draman Mud
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the 5th International Conference on Big Data and Social Sciences (ICBDSS 2024) during August 16-18, 2024 in Shanghai, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers and approved by the Editor-in-Chief, who affirms that this document is a truthful description of the conference’s review process.

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 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_1How 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  - Azah Kamilah Draman Mud
AU  - Mohd Soperi Bin Mohd Zahid
AU  - Dayang Norhayati Abang Jawawi
AU  - Fong Peng Chew
PY  - 2024
DA  - 2024/11/13
TI  - Peer-Review Statements
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_1
DO  - 10.2991/978-94-6463-562-1_1
ID  - DramanMud2024
ER  -