Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part I
Author:   Makoto Onizuka ,  Jae-Gil Lee ,  Yongxin Tong ,  Chuan Xiao
Publisher:   Springer Verlag, Singapore
Edition:   2024 ed.
Volume:   14850
ISBN:  

9789819755516


Pages:   525
Publication Date:   01 October 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2–5, 2024, Proceedings, Part I


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Overview

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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Author:   Makoto Onizuka ,  Jae-Gil Lee ,  Yongxin Tong ,  Chuan Xiao
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   2024 ed.
Volume:   14850
ISBN:  

9789819755516


ISBN 10:   9819755514
Pages:   525
Publication Date:   01 October 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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