About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
PMBDA 2023
Other Years
PMBDA 2023
Ethics and Malpractice Statement
Back to CORE

    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.

    more »
    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

    Ordered by title or year
    Showing 11–20 of 126 results
    Page size: 102550
    • First
    • Previous
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • …
    • Next
    • Last
    • Analysis on the Characteristics of Typical Forest Fire Weather Index in the Beijing-Tianjin-Hebei-Shanxi Region

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

      Fan Li, Pingping Xu
    • Construction of Information Compliance Management and Control System for Power Supply Enterprises Based on Big Data Algorithm

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

      Zhuo Zhao
    • Design of Event Management System for Space Big Data Secure Transmission Message Middleware Based on G/S mode

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

      Yuanhong Zhang, Min Zhang
    • Early Warning Management of Enterprise Human Resource Crisis Based on Computer Technology

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

      Yang Yu
    • Engineering Management for Smart City Development: Strategies, Frameworks, and Sustainable Practices

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

      Zhe Cheng
    • Exploring the Method for Determining the Gap between Revenues and Expenditures of Financial Subsidies for Transportation Emergencies

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

      Jie Yu, Xiaoshu Gou
    • Modelling Medical Resources for a Stochastic Epidemic Model With Vaccination Concerning High-Risk Infectious Diseases

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

      Yuanmei Dong, Jin Yang
    • Prediction of the Data Demand Model of University Teachers and Students

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

      Xinping Lv
    • Research on Aircraft Runway Accident Investigation Report Based on LDA-Apriori Algorithm

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

      Jianping Bao
    • Research on Consumer Behavior Analysis and Recommendations for Cross-border E-commerce based on Big Data

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

      Shasha Wu
    • First
    • Previous
    • 1
    • 2
    • 3
    • 4
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 11
    • …
    • Next
    • Last
    EBSCOProQuestDBLPDOAJPortico
    EAI Logo

    About EAI

    • Who We Are
    • Leadership
    • Research Areas
    • Partners
    • Media Center

    Community

    • Membership
    • Conference
    • Recognition
    • Sponsor Us

    Publish with EAI

    • Publishing
    • Journals
    • Proceedings
    • Books
    • EUDL