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DASFAA 2027: International Conference on Database Systems for Advanced Applications

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DASFAA
截稿日期:
2026-11-22 还有 124 天
通知日期:
会议日期:
2027-05-28
会议地点:
Shenyang, China
届数:
CCF: B   ICORE: B   QUALIS: B1   浏览: 341781   关注: 269   参加: 84

征稿

DASFAA 2027 (International Conference on Database Systems for Advanced Applications) is a CCF B / ICORE B / QUALIS B1 conference held in Shenyang, China on 2027-05-28. The paper submission deadline is 2026-11-22.

The International Conference on Database Systems for Advanced Applications (DASFAA) is a leading international forum for research and development in database systems and their advanced applications. DASFAA 2027 will bring together researchers, practitioners, developers, and users to present original results, exchange ideas, and discuss emerging directions in data management. Topics span the foundations, design, implementation, evaluation, and application of database systems, including data management, data engineering, analytics, knowledge discovery, artificial intelligence for data systems, and large-scale applications. Topics of Interest Topics of interest include, but are not limited to: Database Systems Foundations, architectures, algorithms, and systems for database management, with emphasis on efficient, scalable, and intelligent data processing. Advanced and Domain-Specific Databases Advanced database technologies and domain-specific data management systems for heterogeneous, complex, and emerging data types. Data Management for Specialized Applications Data management techniques, platforms, and infrastructures for specialized application scenarios and emerging computing environments. Data Science & Intelligence and Advanced Applications Data science, artificial intelligence, and intelligent data management techniques for knowledge discovery, analytics, and advanced applications. We particularly encourage submissions on emerging topics such as AI-native data systems, data governance, responsible data analytics, cloud-native databases, multi-modal data management, and heterogeneous data integration.
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