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Web and Big Data

7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I

  • Conference proceedings
  • Jun 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14331)

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About this book

The 4-volume set LNCS 14331, 14332, 14333, and 14334 constitutes the refereed proceedings of the 7th International Joint Conference, APWeb-WAIM 2023, which took place in Wuhan, China, in October 2023.

The total of 138 papers included in the proceedings were carefully reviewed and selected from 434 submissions. They focus on innovative ideas, original research findings, case study results, and experienced insights in the areas of the World Wide Web and big data, covering Web technologies, database systems, information management, software engineering, knowledge graph, recommend system and big data.

Keywords

  • computer networks
  • computer security
  • data mining
  • information retrieval
  • machine learning
  • network protocols
  • privacy
  • recommendation
  • recommender systems
  • signal processing
  • telecommunication systems

Editors and Affiliations

  • Peng Cheng Laboratory, Shenzhen, China

    Xiangyu Song

  • China University of Geosciences, Wuhan, China

    Ruyi Feng, Yunliang Chen

  • Deakin University, Burwood, Australia

    Jianxin Li

  • University of Exeter, Exeter, United Kingdom

    Geyong Min

Bibliographic Information

  • Book Title: Web and Big Data

  • Book Subtitle: 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part I

  • Editors: Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Singapore

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-2302-7Due: 08 July 2024

  • eBook ISBN: 978-981-97-2303-4Due: 08 July 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 515

  • Number of Illustrations: 37 b/w illustrations, 134 illustrations in colour

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