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Web and Big Data: 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 2527, 2022, Proceedings, Part II 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 560 pages, height x width: 235x155 mm, weight: 878 g, 156 Illustrations, color; 41 Illustrations, black and white; XVII, 560 p. 197 illus., 156 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13422
  • Izdošanas datums: 10-Feb-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031251970
  • ISBN-13: 9783031251979
  • Mīkstie vāki
  • Cena: 180,78 €*
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  • Standarta cena: 212,69 €
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  • Formāts: Paperback / softback, 560 pages, height x width: 235x155 mm, weight: 878 g, 156 Illustrations, color; 41 Illustrations, black and white; XVII, 560 p. 197 illus., 156 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13422
  • Izdošanas datums: 10-Feb-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031251970
  • ISBN-13: 9783031251979
This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.

The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.

Research tracks. Big Data Analytic and Management.- Advanced database and web applications.- Cloud Computing and Crowdsourcing.- Data Mining.- Graph Data and Social Networks.- Information Extraction and Retrieval.- Knowledge Graph.- Machine Learning.- Query processing and optimization.- Recommender Systems.- Security, privacy, and trust& Blockchain data management and applications.- Spatial and multi-media data.- Demo papers.