Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

Peer-Review Statements

Authors
Ljiljana Trajkovic1, José Alfredo F. Costa2, Zaher Al Aghbari3, Nor Azman Ismail4, *, Dariusz Jacek Jakobczak5
1Simon Fraser University, Burnaby, Canada
2Federal University, Natal, Brazil
3University of Sharjah, Sharjah, UAE
4Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia
5Koszalin University of Technology, Koszalin, Poland
*Corresponding author. Email: azman@utm.my
Corresponding Author
Nor Azman Ismail
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-689-0_1How to use a DOI?
Abstract

All of the articles in this proceedings volume have been presented at the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026) during March 13-15, 2026 in Jinan, 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
© 2026 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 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
28 May 2026
ISBN
978-94-6239-689-0
ISSN
2352-5428
DOI
10.2991/978-94-6239-689-0_1How to use a DOI?
Copyright
© 2026 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  - Ljiljana Trajkovic
AU  - José Alfredo F. Costa
AU  - Zaher Al Aghbari
AU  - Nor Azman Ismail
AU  - Dariusz Jacek Jakobczak
PY  - 2026
DA  - 2026/05/28
TI  - Peer-Review Statements
BT  - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-689-0_1
DO  - 10.2991/978-94-6239-689-0_1
ID  - Trajkovic2026
ER  -