会議情報
VLDB 2026: International Conference on Very Large Data Bases
https://www.vldb.org/2026/
提出日:
2026-03-01
通知日:
2026-04-15
会議日:
2026-08-31
場所:
Boston, Massachusetts, USA
年:
52
CCF: a   CORE: a*   閲覧: 896453   追跡: 235   出席: 24

論文募集
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.
最終更新 Dou Sun 2025-04-04
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関連仕訳帳
CCF完全な名前インパクト ・ ファクター出版社ISSN
cDistributed and Parallel Databases1.500Springer0926-8782
IEEE Transactions on Very Large Scale Integration (VLSI) Systems2.800IEEE1063-8210
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E-Learning and Digital MediaSAGE2042-7530
aACM Transactions on Database Systems2.200ACM0362-5915
Enterprise Information Systems4.400Taylor & Francis1751-7575
aIEEE Transactions on Knowledge and Data Engineering8.9IEEE1041-4347