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DASFAA 2027 : Database Systems for Advanced Applications

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Conference Series : Database Systems for Advanced Applications
 
Link: https://dasfaa2027.github.io/index.html
 
When May 28, 2027 - May 30, 2027
Where Shenyang, Liaoning, China
Submission Deadline Nov 25, 2026
Notification Due Jan 25, 2027
Final Version Due Feb 20, 2027
Categories    database systems   advanced and domain-specific d   data management for specialize   data science & intelligence an
 

Call For Papers

The International Conference on Database Systems for Advanced Applications (DASFAA) is a leading international forum for discussing cutting-edge research on database systems and advanced applications. DASFAA, a prestigious and well-established conference, offers a platform for technical presentations and discussions among database researchers, developers, and practitioners from academia, industry, and business. DASFAA 2027 invites high-quality, original, and unpublished submissions that present state-of-the-art R&D activities in database systems and their applications. In particular, as database community researchers are actively engaged in data science/intelligence and AI areas, submissions about those topics are also encouraged in DASFAA 2027.

Important Dates
All deadlines are 23:59 Anywhere on Earth (AoE). Deadlines are firm, and no extensions are planned.

Paper Submission: November 25, 2026
Acceptance Notification: January 25, 2027
Camera-Ready Submission: February 20, 2027
Topics of Interest
Topics of interest for DASFAA 2027 include, but are not limited to:

Database Systems
Query processing and optimization
Indexing and storage systems
Data models and query languages
Databases for emerging hardware
Machine learning in databases
Data warehousing and Analytic DB
HTAP databases/Data lakehouses
Transaction management
Advanced and Domain-Specific Databases
Graph databases/vector databases
Temporal and spatial databases
Data streams and time series
Probabilistic and uncertain databases
Embedded and mobile databases
Knowledge management and RDF
Text and multimedia databases
Data Management for Specialized Applications
Data processing for VR/AR/MR
Social network data management
Statistical and scientific databases
Sensor and IoT data management
Cloud, parallel, and distributed databases
Blockchain data management
Data Science & Intelligence and Advanced Applications
RAG (retrieval-augmented generation)-inspired databases
Multi-modal LLM
Data mining and knowledge discovery
Graph and social network analytics
Neural networks and deep learning
Recommendation systems
Information retrieval and summarization
Semantic Web and knowledge graphs
Security, privacy, and trust
Bioinformatics and healthcare
Crowdsourcing and digital libraries
Web information systems
Submission Guidelines
Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to DASFAA, originality, significance, and clarity. All paper submissions will be handled electronically. Any submitted paper violating the length, file type, or formatting requirements will be rejected without review.

Each submitted paper should include an abstract up to 200 words and be no longer than 16 pages (including references, appendices, etc.) in LNCS (Lecture Notes in Computer Science) format. We encourage authors to cite related work comprehensively. When citing conference papers, please also consider citing their extended journal versions if applicable. All papers must be submitted electronically through the paper submission system in PDF only.

The submitted papers must not be previously published in a refereed journal or conference and must not be under consideration by any other conference or journal during the DASFAA review process. If the paper is accepted, at least one author must complete the regular registration and attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Accepted papers will be published in the conference proceedings.

Double-Blind Review Policy
DASFAA 2027 employs a double-blind review process. Authors must anonymize their submissions rigorously to prevent identity disclosure. Avoid self-citations that reveal authorship.

Conflicts of Interest
Authors must declare conflicts of interest (COIs) using the submission management system. Conflicts include recent collaboration, co-authorship, or personal relationships with PC members.

X and Y have worked in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses within the same university system do not count as the same university for this purpose - UC Berkeley does not have a conflict with UC Santa Barbara.
X has been a co-author of a paper with Y in the last three years.
X has been a collaborator within the past two years, as evidenced in a joint publication, joint research project, or co-organizing events, or are collaborating now.
X is the master's/PhD thesis advisor of Y or vice versa, irrespective of how long ago this was.
X is a relative or close personal friend of Y.
It is the full responsibility of all authors of a paper to identify and declare all COIs with members of the Program Committee (reviewers, meta-reviewers, and PC chairs) prior to the submission deadline. Submissions with undeclared conflicts or spurious conflicts will be desk-rejected.

Acceptance Categories
Full research papers: Presented orally (optional poster).

Formatting and Submission
Use LNCS format templates available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Submission System
To submit your paper: https://cmt3.research.microsoft.com/DASFAA2027/Submission/Index

Please select the appropriate track during your submission.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

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