Events & Workshops

2019 ACM SIGMOD/PODS

Amsterdam, NL

The 2019 ACM SIGMOD/PODS Conference, to be held in Amsterdam, The Netherlands, on June 30 – July 5, 2019.

The Conference. The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. The conference includes a fascinating technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative technology, an industrial exhibition to meet companies and publishers, and a careers-in-industry panel with representatives from leading companies.

The annual ACM SIGMOD conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. We invite the submission of original research contributions relating to all aspects of data management defined broadly, and particularly encourage submissions on topics of emerging interest in the research and development communities.

TOPICS OF INTEREST

Topics of interest include but are not limited to the following:

  • Benchmarking and performance evaluation
  • Crowd sourcing
  • Data models, semantics, query languages
  • Data provenance
  • Data visualization
  • Data warehousing, OLAP, SQL Analytics
  • Database monitoring and tuning
  • Database security, privacy, access control
  • Database usability
  • Databases for emerging hardware
  • Distributed and parallel databases
  • Graph data management, RDF, social networks
  • Information extraction
  • Information retrieval and text mining
  • Knowledge discovery, clustering, data mining
  • Query processing and optimization
  • Schema matching, data integration, and data cleaning
  • Scientific databases
  • Semi-structured data
  • Spatio-temporal databases
  • Storage, indexing, and physical database design
  • Streams, sensor networks, complex event processing
  • Transaction processing
  • Uncertain, probabilistic, and approximate databases
  • Machine learning methods for management of data

SIGMOD welcomes submissions on inter-disciplinary work, as long as there are clear contributions to management of data.  See Conference website

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