Bearbmagovva

Database Systems for Advanced Applications 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part I /

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...

Olles dieđut

Furkejuvvon:
Bibliográfalaš dieđut
Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Onizuka, Makoto (Doaimmaheaddji), Lee, Jae-Gil (Doaimmaheaddji), Tong, Yongxin (Doaimmaheaddji), Xiao, Chuan (Doaimmaheaddji), Ishikawa, Yoshiharu (Doaimmaheaddji), Amer-Yahia, Sihem (Doaimmaheaddji), Jagadish, H. V. (Doaimmaheaddji), Lu, Kejing (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Ráidu:Lecture Notes in Computer Science, 14850
Fáttát:
Machine learning.
Database management.
Computers.
Computer networks .
Computers, Special purpose.
Application software.
Machine Learning.
Database Management System.
Computing Milieux.
Computer Communication Networks.
Special Purpose and Application-Based Systems.
Computer and Information Systems Applications.
Liŋkkat:https://doi.org/10.1007/978-981-97-5552-3
Fáddágilkorat: Lasit fáddágilkoriid
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
Govvádus
Čoahkkáigeassu: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. .
Olgguldas hápmi:XXVI, 525 p. 194 illus., 174 illus. in color. online resource.
ISBN:9789819755523
ISSN:1611-3349 ;
DOI:10.1007/978-981-97-5552-3

Geahča maid