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PMBDA 2023
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    PMBDA

    Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

    This book contains the proceedings of the 2023 3rd International Conference on Public Management and Big Data Analysis (PMBDA 2023) held in a hybrid form from December 15th to 17th, 2023. The conference topics covered in this conference include Public Management, Energy Management, Digital Citie…

    This book contains the proceedings of the 2023 3rd International Conference on Public Management and Big Data Analysis (PMBDA 2023) held in a hybrid form from December 15th to 17th, 2023. The conference topics covered in this conference include Public Management, Energy Management, Digital Cities, Project Management, Blockchain, Service Science Big Data Analysis and Big Data Security Applications.

    The conference aims to promote communication and cooperation between academia and industry and provide a platform to discuss the latest research results and development trends in Public Management and Big Data Analysis. We invited experts, scholars, and industry elites worldwide to share their research results and experiences from different perspectives and fields. In addition, we would like to thank the conference chair, publication chairs, technical program committee chairs, program committee chairs, conference secretariat, local organizers, and conference sponsors for their financial support in making PMBDA 2023 a success. We hope this conference will be organized again with more informative publications and inspirational research published. We would also like to thank the invited speakers for their excellent contributions and for sharing their points of view during their speeches.

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    Editor(s): Chawki Djeddi (Larbi Tebessi University, Algeria), Yusmadi Yah Binti Jusoh (Universiti Putra Malaysia) and Teh Sin Yin (Universiti Sains Malaysia)
    Publisher
    EAI
    ISBN
    978-1-63190-462-2
    ISSN
    2593-7642
    Series
    CORE
    Conference dates
    15th–17th Dec 2023
    Location
    Nanjing, People's Republic of China
    Appeared in EUDL
    2024-05-13

    Copyright © 2024–2025 EAI

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    • Safety Evaluation of Metal Structures of Quayside Container Cranes Based on Combination Weighting and Fuzzy Comprehensive Evaluation

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Li Chen, Keqin Ding
    • The Demand Intention and Influencing Factors of Integrated Traditional Chinese Medicine and Elderly Care Services

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Liping Chen, Ruixin Li, Bo Yu, Ting Li
    • The Impact of Various Types of Pre-Event Activities on the Departure Time Choices of Special Events Attendees

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Yitian Bao, Yue Bao, Luo Luo
    • The Prediction on Specific Datasets Using Linear Regression with Regularization and Linear Regression with Gradient Descent

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Yichen Ma, Xinyue Li, Botao Cai
    • The Relationship Between Self-Motivation and Research Performance of Postgraduates Based on PLS-SEM Analysis

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Yufen Jin, Chaoyue Guo
    • The Application Research of Ubiquitous Networking in Smart Agriculture

      Research Article in Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

      Tianxiang Wu, He Wang, Ruochen Shi, Xingquan Liu, Lingwen Kong
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