Conference Information
SSDBM 2024: International Conference on Scientific and Statistical Database Management
https://ssdbm.org/2024/Submission Date: |
2024-04-22 |
Notification Date: |
2024-06-03 |
Conference Date: |
2024-07-10 |
Location: |
Rennes, France |
Years: |
36 |
CCF: c CORE: a QUALIS: a2 Viewed: 28429 Tracked: 57 Attend: 10
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 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 hosted by the Inria centre at Rennes University and 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. Research papers are up to 12 pages (including references and appendices). Papers should be descriptions of complete technical work. The program committee may decide to accept some long papers as short papers. Long papers will be given a presentation slot in the conference, while short papers will be presented in the form of posters and given a short presentation slot in the conference. All papers, regardless of size, will be given an entry in the conference proceedings. 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 2024-04-15
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Advances in OptoElectronics | Hindawi | 1687-563X | ||
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Full Name | Impact Factor | Publisher |
---|---|---|
Advances in OptoElectronics | Hindawi | |
ACM Transactions on Management Information Systems | 2.500 | ACM |
Materials Science and Engineering: R: Reports | 31.60 | Elsevier |
Internet and Higher Education | 6.400 | Elsevier |
Virtual and Physical Prototyping | 10.20 | Taylor & Francis |
Information Systems Management | 3.000 | Taylor & Francis |
International Journal of Advanced Computer Science and Applications | 0.700 | Science and Information |
IEEE Communications Standards Magazine | IEEE | |
Structural and Multidisciplinary Optimization | 3.600 | Springer |
Knowledge Engineering Review | Cambridge University Press |
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