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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
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Authors are invited to submit original, unpublished manuscripts. All submissions should be formatted using the ACM format available at https://www.acm.org/publications/proceedings-template by selecting the generic "sigconf" sample. For submissions prepared in LaTex, authors are recommended to use \documentclass[sigconf,review]{acmart} configuration. SSDBM 2024 is single-blind reviewed; authors must include their names and affiliations on the first page. All authors should respect ACM Policy on Authorship (https://www.acm.org/publications/policies/new-acm-policy-on-authorship ) and use of large language models (LLMs). At least one author of each accepted paper must register and plan to attend the conference in-person. Each author registration can be applied to only one accepted submission.
Submission site: https://easychair.org/my/conference?conf=ssdbm2024
Full 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 will appear in the proceedings to be published by Association of Computing Machinery (ACM) International Conference Proceeding Series (ICPS). Accepted papers will also need to follow the conference registration policy to be included in the conference proceedings.
Important Deadlines (AOE)
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- Full paper submission deadline: April 29 May 8 , 2024
- Author notification (full papers): June 3, June 5, 2024
- Conference: July 10 - July 12, 2024
Organization Committee
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General Chair
Shadi Ibrahim, Inria, France
General Vice Chair
Suren Byna, The Ohio State University, USA
Program Chairs
Tristan Allard, University of Rennes, France
Jay Lofstead, Sandia National Laboratories (SNL), USA
Amelie Chi Zhou, Hong Kong Baptist University, Hong Kong
Short Paper Chairs
Tassadit Bouadi, University of Rennes, France
Jalil Boukhobza, National Institute of Advanced Technologies of Brittany (ENSTA Bretagne), France
Demo Paper Chairs
Diana Moise, HPE, Switzerland
Cédric Tedeschi, University of Rennes, France
Proceedings Chair
Jean Luca Bez, Lawrence Berkeley National Laboratory, USA
Local Event Coordinator
Edith Blin, Inria, France
Web Chairs
Marc Tranzer, Inria, France
Mohammad Rizk, Inria, France
Steering Committee
Arie Shoshani, Lawrence Berkeley National Lab (Chair Emeritus)
John Wu, Lawrence Berkeley National Lab (Chair)
Michael Böehlen, University of Zurich
Tanu Malik, DePaul University
Xingquan (Hill) Zhu, Florida Atlantic University
Yongluan Zhou, University of Copenhagen
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