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Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 1720, 2023, Proceedings, Part II 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 814 pages, height x width: 235x155 mm, weight: 1264 g, 199 Illustrations, color; 9 Illustrations, black and white; XXVI, 814 p. 208 illus., 199 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13944
  • Izdošanas datums: 15-Apr-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031306716
  • ISBN-13: 9783031306716
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  • Cena: 109,38 €*
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Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 1720, 2023, Proceedings, Part II 1st ed. 2023Palielināt
  • Formāts: Paperback / softback, 814 pages, height x width: 235x155 mm, weight: 1264 g, 199 Illustrations, color; 9 Illustrations, black and white; XXVI, 814 p. 208 illus., 199 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13944
  • Izdošanas datums: 15-Apr-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031306716
  • ISBN-13: 9783031306716
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031306716.html
Keywords:
The four-volume set LNCS 13943, 13944, 13945 and 13946 constitutes the proceedings of the 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023, held in April 2023 in Tianjin, China.

The total of 125 full papers, along with 66 short papers, are presented together in this four-volume set was carefully reviewed and selected from 652 submissions. Additionally, 15 industrial papers, 15 demo papers and 4 PhD consortium papers are included. The conference presents papers on subjects such as model, graph, learning, performance, knowledge, time, recommendation, representation, attention, prediction, and network.

Query Processing.- Data Management.- Graph and Network.- Knowledge Graph.- Recommendation.- Privacy computing.- Text Processing.- Information Retrieval.- Systems and Optimization.- Spatial Data.- Time Series Data.- Applications of Machine learning.