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DASFAA 2027: International Conference on Database Systems for Advanced Applications

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DASFAA
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截稿日期:
2026-11-22 还有 79 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: 349018   关注: 269   参加: 85

会伴指数 (CP-I)

74.2 / 100
全站第 268 名 / 共 5,650 个会议 · 前 5%

数据挖掘与数据库 第 13 / 336

学术认可 (35%)
82
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
94
社区关注 (10%)
84
资料公开度 (15%)
55

用到的输入: 收录等级：CCF B, ICORE B, QUALIS B1 · 有据可查的届次：32 · 在会伴关注它的研究者：269 人 · 过去 24 个月打开过本页的研究者：57 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-04

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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