Database systems for advanced applications Part 1
Spatial and temporal data.- Database core technology.- Federated learning.
Gespeichert in:
| Körperschaft: | |
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| Weitere Verfasser: | , , , , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2024
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| Schriftenreihe: | Lecture notes in computer science
14850 |
| Schlagworte: |
Angewandte Informatik
> COM094000
> COMPUTERS / Computer Science
> COMPUTERS / Database Management / General
> COMPUTERS / Expert Systems
> COMPUTERS / Hardware / Network Hardware
> Databases
> Datenbanken
> Expert systems / knowledge-based systems
> Information technology: general issues
> Machine learning
> Maschinelles Lernen
> Network hardware
> Netzwerk-Hardware
> Wissensbasierte Systeme, Expertensysteme
> Konferenzschrift
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| Zusammenfassung: | Spatial and temporal data.- Database core technology.- Federated learning. 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 |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xxvi, 525 Seiten Illustrationen, Diagramme |
| ISBN: | 9789819755516 978-981-97-5551-6 |