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Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, Proceedings, Part VII

Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, Proceedings, Part VII in Franklin, TN

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Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, Proceedings, Part VII

Barnes and Noble

Database Systems for Advanced Applications: 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, Proceedings, Part VII in Franklin, TN

Current price: $79.99
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Size: Paperback

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.
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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