Deadline for full paper submission is extended to May 8, 2024, 11:59 PM AoE

Deadline for short paper submission is extended to May 15, 2024, 11:59 PM AoE

Deadline for demo paper submission is extended to May 15, 2024, 11:59 PM AoE

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36th International Conference on Scientific and Statistical Database Management

July 10–12, 2024

Rennes, France

https://ssdbm.org/2024/

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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 36th 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 2024 will be held in Rennes, France, from July 10th to 12th. SSDBM 2024 will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas in all aspects of research related to scientific and statistical data management, and high-performance data analysis tools and techniques for distributed datasets. Topics of interest in SSDBM 2024 papers include, but are not limited to:

– 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

Submission Guidelines