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Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 25, 2024, Proceedings, Part I 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 525 pages, height x width: 235x155 mm, 174 Illustrations, color; 20 Illustrations, black and white; XXVI, 525 p. 194 illus., 174 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14850
  • Izdošanas datums: 01-Oct-2024
  • Izdevniecība: Springer Nature
  • ISBN-10: 9819755514
  • ISBN-13: 9789819755516
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Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 25, 2024, Proceedings, Part I 2024 ed.Palielināt
  • Formāts: Paperback / softback, 525 pages, height x width: 235x155 mm, 174 Illustrations, color; 20 Illustrations, black and white; XXVI, 525 p. 194 illus., 174 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14850
  • Izdošanas datums: 01-Oct-2024
  • Izdevniecība: Springer Nature
  • ISBN-10: 9819755514
  • ISBN-13: 9789819755516
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819755516.html
Keywords:
The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024.





The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions.





Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included.





The conference presents papers on subjects such as:





Part I: Spatial and temporal data; database core technology; federated learning.





Part II: Machine learning; text processing.





Part III: Recommendation; multi-media.





Part IV: Privacy and security; knowledge base and graphs.





Part V: Natural language processing; large language model; time series and stream data.





Part VI: Graph and network; hardware acceleration.





Part VII: Emerging application; industry papers; demo papers.





 

Spatial and temporal data.- Database core technology.- Federated learning.