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Big Data – BigData 2024

13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings

  • Conference proceedings
  • Nov 2024
  • Latest edition

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15422)

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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Big Data, BigData 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during November 16-19, 2024.

The 8 full papers and 1 short paper included in this book were carefully reviewed and selected from 21 submissions. They focus on various topics within the field of Data-based services such as Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. 

The papers have been organized under the following topical sections: Research track; Application track; and Short paper track.

Keywords

  • Data storage
  • Data lake
  • Data analysis
  • Data modeling
  • Data management
  • Data centers
  • Dataflow architecture
  • Data as a service

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Yong Zhang

  • Hubei University of Technology, Wuhan, China

    Ting Cai

  • Shenzhen University, Shenzhen, China

    Liang-Jie Zhang

Bibliographic Information

  • Book Title: Big Data – BigData 2024

  • Book Subtitle: 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings

  • Editors: Yong Zhang, Ting Cai, Liang-Jie Zhang

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-77087-6Due: 12 December 2024

  • eBook ISBN: 978-3-031-77088-3Due: 12 December 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 145

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