Conference Information

DASFAA 2027: International Conference on Database Systems for Advanced Applications

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Submission Date:
2026-11-25 Due in 37 days
Notification Date:
2027-01-25
Conference Date:
2027-05-27
Location:
Shenyang, China
Years:
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CCF: B   ICORE: B   QUALIS: B1   Viewed: 353503   Tracked: 274   Attend: 85
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DASFAA
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Conference Partner Index (CP-I)

76.9 / 100
Ranked #239 of 5,721 conferences · Top 5%

#13 of 336 in Data Mining & Databases

Academic recognition (35%)
82
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
94
Community attention (10%)
89
Public record completeness (15%)
70

Inputs used: Listed as CCF B, ICORE B, QUALIS B1 · Editions on record: 32 · Researchers following it here: 274 · Researchers who opened this page in the past 24 months: 102

Missing from the public record: Historical acceptance rates (+4.5)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-19

Call For Papers

DASFAA 2027 (International Conference on Database Systems for Advanced Applications) is a CCF B / ICORE B / QUALIS B1 conference held in Shenyang, China on 2027-05-27. The paper submission deadline is 2026-11-25. Acceptance notifications are sent on 2027-01-25.

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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Best Papers

YearBest Papers
2024Cost-aware Outdated Facts Correction in the Knowledge Bases
2024Distributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs
2024Flexible Contact Correlation Learning on Spatio-Temporal Trajectories
2023ACR-Tree: Constructing R-Trees Using Deep Reinforcement Learning
2023Approximate k-Nearest Neighbor Query over Spatial Data Federation
2022Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion
2021Towards Entity Alignment in the Open World: An Unsupervised Approach
2020AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing
2019Towards Robust Arbitrarily Oriented Subspace Clustering
2019Multi-level Graph Compression for Fast Reachability Detection
2019MathGraph: A knowledge graph for solving mathematical exercises
2018Multi-Query Optimization in Federated RDF Systems
2018Incremental and Adaptive Topic Detection over Social Media
2017AngleCut: A Ring-Based Hashing Scheme for Distributed Metadata Management
2017Supervised Intensive Topic Models for Emotion Detection over Short Text
2017Effective k-Vertex Connected Component Detection in Large-Scale Networks
2017Continuous Summarization over Microblog Threads
2016When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks
2016Pre-computed Region Guardian Sets Based Reverse kNN Queries
2015Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee
2014rho-uncertainty Anonymization by Partial Suppression
2013On the Complexity of t-Closeness Anonymization and Related Problems
2013On Leveraging Crowdsourcing Techniques for Schema Matching Networks
2012Context Sensitive Tag Expansion with Information Inference
2012Efficient Subgraph Similarity All-Matching
2011Robust Ranking of Uncertain Data
2011ECODE: Event-Based Community Detection from Social Networks
2011Real-Time Diameter Monitoring for Time-Evolving Graphs
2011An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data
2010Detecting Leaders from Correlated Time Series
2010k-Selection Query over Uncertain Data
2010Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
2010Active Duplicate Detection
2009Probabilistic Inverse Ranking Queries over Uncertain Data
2009Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects
2008Bulk-Loading the ND-Tree in Non-ordered Discrete Data Spaces
2006Probabilistic Similarity Join on Uncertain Data
2005Indexing DNA Sequences Using q-grams
2004Efficient Execution of Aggregation Queries over Encrypted Relational Databases

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