Data is the basic ingredient of Big Data (BiD) applications. BiD technologies are deploying new strategies to maximise efficiency and reduce the time taken to process information. Currently, we continue to work against the COVID-19 pandemic and the emerging COVID-22 wave.
The third edition of the conference series Modern Management based on Big Data (MMBD) has taken place as MMBD2022.
The general topics covered at the MMBD2022 conference fell into three main categories: big data, modern management and big-data-driven manufacturing and service industry supply chain (sc) management. Among other things, the first of these includes data analytics; big data modelling; big data technologies; data visualization; architectures for massively parallel processing systems; data mining tools and techniques; machine learning algorithms for big data; and big data for engineering applications. The second, modern management, encompasses modern management and strategy; management decision making; manufacturing and logistics-based systems; engineering economy; management information systems; human gender engineering; and law-based information treatment. The last group includes big data in manufacturing sc; big data in retail and healthcare; big data in accounting and banking sc; big data in educational sc; big data in global trading; and big data in e-commerce.
Apart from these general topics, as a follow-up to MMBD2021, MMBD2022 has attracted a number of papers related to COVID-19, including some hot topics but not limited to platform economy; innovations in online education management with big data; innovation and technology management; blockchain management and technology; green supply chain management; big data analytics in supply chains; policy and strategy for new energy and environment; smart grid load and energy management; sustainable traffic management; decision making on sustainable transport policies; modern healthcare management; modern food security management; social strategies for managing human relationships; and detecting fake news with mathematics and big data.
The MMBD2022 conference was originally scheduled to be held from 15–18 August 2022 in Seoul, South Korea. The most popular topics in this book concern big data analysis and emerging applications.
All papers were exhaustively reviewed by members of the programme committee and peer-reviewers, who took into account the breadth and depth of the research topics falling under the scope of MMBD. The 52 most promising and FAIA-mainstream-relevant contributions of some 200 submissions are included in this book. They present innovative and original ideas or results of general significance supported by clear and rigorous reasoning and compelling new light in terms of evidence, as well as method.
I would like to thank all the keynote and invited speakers, authors and anonymous reviewers whose efforts have resulted in MMBD becoming a top-level conference. I am also very grateful to those people, particularly the members of the programme committee and reviewers, who devoted their time to the assessment of the papers. It has been an honour to work from the outset on the publication of these proceedings in the prestigious series Frontiers in Artificial Intelligence and Applications (FAIA) from IOS Press. Our particular thanks also go to J. Breuker, N. Guarino, J.N. Kok, R. López de Mántaras, J. Liu, R. Mizoguchi, M. Musen, S.K. Pal and N. Zhong, the FAIA series editors, for their support for this conference.
Last but not least, any inconvenience caused due to the change of format from face to face to virtual is sincerely regretted. Hopefully we will meet face to face at the MMBD2023 conference next year, the venue of which may be any convenient city in mainland China.
Antonio J. Tallón-Ballesteros
University of Huelva (Spain)
Huelva city, Spain