2017-10-16: CFP: International Workshop on Big Data Visual Exploration and Analytics, Vienna, Austria (Deadline: December 25, 2017)

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Held in conjunction with the 21th Intl. Conference on Extending Database Technology & 21th Intl. Conference on Database Theory (EDBT/ICDT 2018)


Workshop Topics

In the context of visual exploration and analytics, topics of interest include, but are not limited to:

  • Visualization and exploration techniques for various Big Data types (e.g., stream, spatial, high-dimensional, graph)
  • Human-centered database techniques
  • Indexes and data structures for data visualization
  • Raw data visual exploration and analytics
  • Incremental and adaptive processing
  • Interactive caching and prefetching
  • Scalable visual operations (e.g., zooming, panning, linking, brushing)
  • Big Data visual representation techniques (e.g., aggregation, sampling, multi-level, filtering)
  • Setting-oriented visualization (e.g., display resolution/size, smart phones, pixel-oriented, visualization over networks)
  • User-oriented visualization (e.g., assistance, personalization, recommendation)
  • Visual analytics (e.g., pattern matching, timeseries analytics, prediction analysis, outlier detection, OLAP)
  • Visual and interactive data mining
  • Models of human-in-the-loop data analysis
  • High performance/Parallel techniques
  • Visualization hardware and acceleration techniques
  • Linked Data and ontologies visualization
  • Case and user studies
  • Systems and tools


Submissions

  • regular research papers (up to 8 pages)
  • work-in-progress papers (up to 4 pages)
  • vision papers (up to 4 pages)
  • system papers and demos (up to 4 pages)


Important Dates

Submission: December 25, 2017
Notification: January 22, 2018
Camera-ready: January 29, 2018
Deadlines expire at 5pm PT
Workshop: March 26, 2018


Organizing Committee

Nikos Bikakis, ATHENA Research Center, Greece
George Papastefanatos, ATHENA Research Center, Greece
Olga Papaemmanouil, Brandeis University, USA