Información de la conferencia
VLDB 2026: International Conference on Very Large Data Bases
https://www.vldb.org/2026/Día de Entrega: |
2026-03-01 |
Fecha de Notificación: |
2026-04-15 |
Fecha de Conferencia: |
2026-08-31 |
Ubicación: |
Boston, Massachusetts, USA |
Años: |
52 |
CCF: a CORE: a* Vistas: 343685 Seguidores: 235 Asistentes: 24
Solicitud de Artículos
The Very Large Data Bases (VLDB) is a premier annual international forum for data management, scalable data science, and database researchers, vendors, practitioners, application developers, and users. The forthcoming VLDB 2026 conference is poised to deliver a comprehensive program, featuring an array of research talks, keynote and invited talks, panels, tutorials, demonstrations, industrial tracks, and workshops. It will cover a spectrum of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. Key areas of interest for PVLDB include, but are not limited to, data mining and analytics, data privacy and security, database engines, database performance and manageability, distributed database systems, graph and network data, information integration and data quality, languages, machine learning, ai, and databases, novel database architectures, provenance and workflows, specialized and domain-specific data management, text and semi-structured data, and user interfaces. These thematic pillars represent the foundational elements underpinning the technological landscape of the emerging applications of the 21st century. The VLDB 2026 conference will take place from Aug 31st to 4th September, 2026 in Boston, MA, USA.
Última Actualización Por Dou Sun en 2025-04-04
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Nombre Completo | Factor de Impacto | Editor |
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Journal of Cryptographic Engineering | 1.500 | Springer |
International Journal of E-Learning and Educational Technologies in the Digital Media | SDIWC | |
Statistical Analysis and Data Mining | John Wiley & Sons, Ltd | |
IEEE Transactions on Information Forensics and Security | 6.300 | IEEE |
Journal of Control and Decision | 1.500 | Taylor & Francis |
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Computer Communication Review | ACM | |
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