Conference Information
SSDBM 2023: International Conference on Scientific and Statistical Database Management
https://ssdbm.org/2023/
Submission Date:
2023-04-16
Notification Date:
2023-05-23
Conference Date:
2023-07-10
Location:
Los Angeles, California, USA
Years:
35
CCF: c   CORE: a   QUALIS: a2   Viewed: 21450   Tracked: 45   Attend: 9

Call For Papers
The SSDBM international conference brings together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical database applications. The 35th SSDBM will provide a forum for original research contributions and practical system design, implementation and evaluation. The conference program typically consists of a single track to facilitate discussion, and contains presentations of invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.

SSDBM 2023 will be hosted by the University of Southern California’s Information Sciences Institute (USC/ISI) and will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas.

Topics of Interest

Topics of particular interest include, but are not limited to, the following, as they relate to scientific and statistical data management:

    Modeling of scientific data
    Indexing and querying scientific data, including spatial, temporal, and streaming data
    FAIR data principles (Findable, Accessible, Interoperable, Reusable)
    Provenance data management
    Schema evolution
    Data integration
    Visualization and exploration of large datasets
    Spatial, temporal and spatio-temporal scientific data
    Geographical information retrieval
    Location-aware recommender systems
    Stream data representation and management
    Stream data analysis, e.g., summarization, statistical analysis, pattern matching, pattern discovery, learning, and prediction
    Design, implementation, optimization, and reproducibility of scientific workflows
    Security and privacy
    Cloud computing issues in large-scale data management
    Information retrieval and text mining
    System architectures
    Case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
    Distributed systems and devices
    Internet of Things data analytics
    Smart city applications and services
    Database support of machine learning and AI
Last updated by Dou Sun in 2023-01-21
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