Información de la conferencia
SIGMOD 2025: ACM Conference on Management of Data
https://2025.sigmod.org/Día de Entrega: |
2024-10-10 |
Fecha de Notificación: |
2024-11-28 |
Fecha de Conferencia: |
2025-06-22 |
Ubicación: |
Berlin, Germany |
Años: |
52 |
CCF: a CORE: a* QUALIS: a1 Vistas: 180839 Seguidores: 275 Asistentes: 39
Solicitud de Artículos
TOPICS We invite submissions in the following topics: Data Management Systems Benchmarking, monitoring, testing, and tuning database systems Cloud, distributed, decentralized and parallel data management Database systems on emerging hardware Embedded databases, IoT and Sensor networks Storage, indexing, and physical database design Query processing and optimization Transaction processing Data warehousing, OLAP, Analytics Models and Languages Data models and semantics Declarative programming languages and optimization Spatial and temporal data management Graphs, social networks, web data, and semantic web Multimedia and information retrieval Uncertain, probabilistic, and approximate databases Streams and complex event processing Human-Centric Data Management Data exploration, visualization, query languages, and user interfaces Crowdsourced and collaborative data management User-centric and human-in-the-loop data management Natural language processing for databases Data Governance Data provenance and workflows Data integration, information extraction, and schema matching Data quality, data cleaning Data security, privacy, and access control Responsible data management and data fairness Metadata Management Modern AI & Data Management Structured queries over unstructured data: images, video, natural language, etc. Natural language queries Machine learning methods for database engine internals Machine learning methods for database tuning Data management and metadata for machine learning pipelines Knowledge base management Data mining Prescriptive Analytics Data-Driven Applications Data-intensive (DI) applications Data Science (DS) pipelines Note that submissions in this topic should: Focus on data life cycle and pipelines in DS applications OR novel data management in DI fields outside our core (e.g., graphics, networking, astronomy). Detail deployed solutions for DS or DI applications. Share real-world experiences. Provide access to systems, datasets, query logs, benchmarks. Describe the impact of the contribution on future research.
Última Actualización Por Dou Sun en 2024-03-31
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c | IET Computer Vision | 1.500 | IET | 1350-245X |
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Nombre Completo | Factor de Impacto | Editor |
---|---|---|
International Journal of Circuit Theory and Applications | 1.800 | Wiley-Blackwell |
IET Computer Vision | 1.500 | IET |
Memetic Computing | 3.300 | Springer |
International Journal of Computing | Research Institute of Intelligent Computer Systems | |
Journal of Grid Computing | 3.600 | Springer |
Advances in OptoElectronics | Hindawi | |
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization | 1.300 | Taylor & Francis |
IEEE Transactions on Wireless Communications | 8.900 | IEEE |
Structural and Multidisciplinary Optimization | 3.600 | Springer |
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