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Big Data – BigData 2022

11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10–14, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13730)

Included in the following conference series:

Conference proceedings info: BigData 2022.

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Table of contents (9 papers)

Other volumes

  1. Big Data – BigData 2022

Keywords

About this book

This book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. 


The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions.



The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services.

Editors and Affiliations

  • Shenzhen Yihuo Technology Co., Ltd., Shenzhen, China

    Bo Hu

  • Chongqing University, Chongqing, China

    Yunni Xia

  • Anhui University, Hefei, China

    Yiwen Zhang

  • Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

Bibliographic Information

  • Book Title: Big Data – BigData 2022

  • Book Subtitle: 11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10–14, 2022, Proceedings

  • Editors: Bo Hu, Yunni Xia, Yiwen Zhang, Liang-Jie Zhang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-23501-6

  • 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 2022

  • Softcover ISBN: 978-3-031-23500-9Published: 11 December 2022

  • eBook ISBN: 978-3-031-23501-6Published: 09 December 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 89

  • Number of Illustrations: 3 b/w illustrations, 20 illustrations in colour

  • Topics: Big Data

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