Conference Scope

The International Conference on Database Systems for Advanced Applications (DASFAA) is a leading international forum for discussing the latest research on database systems and advanced applications. DASFAA, a well-established international conference series that provides a forum for technical presentations and discussions among database researchers, developers, and users from academia, business, and industry, showcases state-of-the-art R&D activities in the general areas of database systems and their applications.

Topics

DASFAA-2024 welcomes high-quality, original, and previously unpublished submissions in database theory, technology, and practice. Topics of interest for the conference include, but are not limited to, the following:

Database systems

Database core technology

    Query processing and optimization
    Index and storage systems
    Data model and query language
    Databases for emerging hardware
    Machine learning for database
    Data warehouse and OLAP
    Transaction management

Domain-specific/advanced database systems

    Data processing in VR/AR/MR
    Graph data management
    Data management in social networks
    Embedded and mobile databases
    Temporal and spatial databases
    Data streams and time-series data
    Knowledge management
    Text databases
    Multimedia databases
    HCI for modern information systems
    Natural language query interface
    Probabilistic and uncertain data
    Sensor data management
    Statistical and scientific databases

Cloud data management

    Cloud data management
    Big Data data management (e.g, MapReduce, Spark)
    Parallel and distributed database systems
    Data semantics and data integration
    Information integration
    Blockchain

Data science and advanced applications

Data science

    Data-driven AI technology
    Data mining and knowledge discovery
    Neural network
    Graph and social network analysis
    RDF and knowledge graphs
    Text and data mining

Advanced applications

    Search and recommendation technology
    Security, privacy, and trust
    Data quality and credibility
    Bio and health informatics
    Data science for epidemics (e.g., COVID-19)
    Semantic Web and knowledge management
    Crowd-sourcing
    Data archive and digital library
    Web information systems
    Information extraction and summarization