International Conference on Extending DB Technology
摘要截稿: 2019-10-07
全文截稿: 2019-10-11
开会时间: 2020-03-30
会议难度:
CCF分类: B类
会议地点: Copenhagen, Denmark
Overview
The EDBT series of conferences is an established and prestigious forum for the exchange of the latest research results in data management. Held in an attractive European location, the conference provides unique opportunities for database researchers, practitioners, developers, and users to explore new ideas, techniques, and tools, and to exchange experiences. The previous events were held in Venice, Vienna, Cambridge, Avignon, Valencia, Konstanz, Prague, Heraklion, Munich, Nantes, St Petersburg, Lausanne, Uppsala, Berlin, Genoa, Athens, Brussels, Bordeaux, Venice, Vienna and Lisbon. Following the successful SIGMOD/PODS model, EDBT and ICDT are held annually as joint conferences, beginning in 2009.
We encourage submissions of research papers related to all aspects of data management defined broadly, and particularly encourage work on topics of emerging interest in the database research and development communities. We welcome papers on topics including, but not limited to:
Availability, reliability, and scalability
Big data storage, processing and transformation
Complex event processing and data streams
Concurrency control, recovery, and transaction management
Data management in clouds
Data mining and knowledge discovery
Data quality, curation, and provenance
Data warehousing, large-scale analytics and ETL tools
Emerging hardware and in-memory databases
Experiments and analysis
Graph databases and semantic web
Heterogeneous databases, data integration
Middleware and workflow management
Parallel, distributed and grid data management
Privacy, trust and security in databases
Query processing and optimization
Scientific and statistical databases
Semi-structured and linked data management
Sensor and mobile data management
Social networks and crowdsourcing
Spatial, temporal, and geographic databases
Text databases and information retrieval
Tuning, monitoring, benchmarking and performance evaluation
User interfaces and data visualization
Visionary