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Song, Xiangyu [Editor]; Feng, Ruyi [Editor]; Chen, Yunliang [Editor]; Li, Jianxin [Editor]; Min, Geyong [Editor]

Web and Big Data - [1st ed. 2024.]

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  • Media type: E-Book
  • Title: Web and Big Data : 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6–8, 2023, Proceedings, Part III
  • Contributor: Song, Xiangyu [Editor]; Feng, Ruyi [Editor]; Chen, Yunliang [Editor]; Li, Jianxin [Editor]; Min, Geyong [Editor]
  • Published: Singapore: Springer Nature Singapore, 2024.
    Singapore: Imprint: Springer, 2024.
  • Published in: Lecture Notes in Computer Science ; 14333
  • Issue: 1st ed. 2024.
  • Extent: 1 Online-Ressource(XVII, 524 p. 204 illus., 160 illus. in color.)
  • Language: English
  • DOI: 10.1007/978-981-97-2387-4
  • ISBN: 9789819723874
  • Identifier:
  • Keywords: Big data. ; Data structures (Computer science). ; Information theory. ; Application software. ; Image processing ; Computer vision. ; Data mining.
  • Origination:
  • Footnote:
  • Description: 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.