—— Publication Guidelines ——
Accepted full papers will be published in the upcoming MMBD 2026 conference proceedings in the book series
Frontiers in Artificial Intelligence and Applications (FAIA).
The proceedings published in the Frontiers in Artificial Intelligence and Applications series (FAIA) cover a broad spectrum of artificial intelligence research, from theoretical foundations to applied and interdisciplinary applications. Across the series, three recurring areas stand out. First, FAIA presents foundational AI research, including work on machine learning, reasoning, knowledge representation, logic, and intelligent algorithms, which underpins progress across the field. Second, it showcases applied AI and intelligent systems, where AI techniques are developed, tested, and deployed in domains such as robotics, data analytics, software engineering, healthcare, law, and engineering. Third, FAIA highlights interdisciplinary and human centred perspectives, exploring how AI interacts with humans, organisations, and society through themes such as explainable and trustworthy AI, human–AI interaction, hybrid intelligence, ethics, and responsible innovation. Drawing on contributions from leading international conferences, the series provides a comprehensive and evolving picture of contemporary artificial intelligence research and practice.
All volumes within the FAIA series are indexed in Scopus; EI Compendex; Google Scholar. All volumes are submitted for individual evaluation by Web of Science: Conference Proceedings Citation Index (CPCI); DBLP.
The past six conference proceedings (MMBD2025, MMBD2024, MMBD2023, MMBD2022, MMBD2021 and MMBD2020) have been published successively in Vol. 407, Vol. 387, Vol. 370, Vol. 352, Vol. 341 and Vol. 329 in the book series: Frontiers in Artificial Intelligence and Applications (FAIA) by IOS Press, and all have been indexed smoothly by EI Compendex, Scopus, etc.
Selected papers from MMBD 2026 conference will be recommended to the following journals, including but not limited to:

Data (IF=2.0)
ISSN: 2306-5729
Indexed by ESCI/EI/Scopus, etc.
Special issue: From Intuition to Algorithms: Re-Inventing Management in the Age of Big Data

Electronics (IF=2.6)
ISSN: 2079-9292
Indexed by SCIE/EI/Scopus, etc.
Special issue: Advances in Intelligent Data Analysis and Its Applications, 3rd Edition

Applied System Innovation (IF=3.7)
ISSN: 2571-5577
Indexed by Scopus/ESCI/EI, etc.
Special issue: Advances in Mathematical Models and Computational Intelligence for Transportation System Planning and Management
The proceedings published in the Frontiers in Artificial Intelligence and Applications series (FAIA) cover a broad spectrum of artificial intelligence research, from theoretical foundations to applied and interdisciplinary applications. Across the series, three recurring areas stand out. First, FAIA presents foundational AI research, including work on machine learning, reasoning, knowledge representation, logic, and intelligent algorithms, which underpins progress across the field. Second, it showcases applied AI and intelligent systems, where AI techniques are developed, tested, and deployed in domains such as robotics, data analytics, software engineering, healthcare, law, and engineering. Third, FAIA highlights interdisciplinary and human centred perspectives, exploring how AI interacts with humans, organisations, and society through themes such as explainable and trustworthy AI, human–AI interaction, hybrid intelligence, ethics, and responsible innovation. Drawing on contributions from leading international conferences, the series provides a comprehensive and evolving picture of contemporary artificial intelligence research and practice.
All volumes within the FAIA series are indexed in Scopus; EI Compendex; Google Scholar. All volumes are submitted for individual evaluation by Web of Science: Conference Proceedings Citation Index (CPCI); DBLP.
The past six conference proceedings (MMBD2025, MMBD2024, MMBD2023, MMBD2022, MMBD2021 and MMBD2020) have been published successively in Vol. 407, Vol. 387, Vol. 370, Vol. 352, Vol. 341 and Vol. 329 in the book series: Frontiers in Artificial Intelligence and Applications (FAIA) by IOS Press, and all have been indexed smoothly by EI Compendex, Scopus, etc.

Proceedings of MMBD 2025:
Modern Management based on Big Data VI
Publication Date: June 2025
Volume: 407
ISBN online: 978-1-64368-599-1
Modern Management based on Big Data VI
Publication Date: June 2025
Volume: 407
ISBN online: 978-1-64368-599-1

Proceedings of MMBD 2024:
Modern Management based on Big Data V
Publication Date: August 2024
Volume: 387
ISBN online: 978-1-64368-528-1
Modern Management based on Big Data V
Publication Date: August 2024
Volume: 387
ISBN online: 978-1-64368-528-1

Proceedings of MMBD 2023:
Modern Management based on Big Data IV
Publication Date: August 2023
Volume: 370
ISBN online: 978-1-64368-411-6
Modern Management based on Big Data IV
Publication Date: August 2023
Volume: 370
ISBN online: 978-1-64368-411-6

Proceedings of MMBD 2022:
Modern Management based on Big Data III
Publication Date: November 2022
Volume: 352
ISBN online: 978-1-64368-301-0
Modern Management based on Big Data III
Publication Date: November 2022
Volume: 352
ISBN online: 978-1-64368-301-0

Proceedings of MMBD 2021:
Modern Management based on Big Data II
Publication Date: November 2021
Volume: 341
ISBN online: 978-1-64368-225-9
Modern Management based on Big Data II
Publication Date: November 2021
Volume: 341
ISBN online: 978-1-64368-225-9

Proceedings of MMBD 2020:
Modern Management based on Big Data I
Publication Date: October 2020
Volume: 329
ISBN online: 978-1-64368-120-7
Modern Management based on Big Data I
Publication Date: October 2020
Volume: 329
ISBN online: 978-1-64368-120-7
Selected papers from MMBD 2026 conference will be recommended to the following journals, including but not limited to:

Data (IF=2.0)
ISSN: 2306-5729
Indexed by ESCI/EI/Scopus, etc.
Special issue: From Intuition to Algorithms: Re-Inventing Management in the Age of Big Data

Electronics (IF=2.6)
ISSN: 2079-9292
Indexed by SCIE/EI/Scopus, etc.
Special issue: Advances in Intelligent Data Analysis and Its Applications, 3rd Edition

Applied System Innovation (IF=3.7)
ISSN: 2571-5577
Indexed by Scopus/ESCI/EI, etc.
Special issue: Advances in Mathematical Models and Computational Intelligence for Transportation System Planning and Management
