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
  • BigVis 2018 invites submissions of novel research, completed or in-progress work, vsion, and system papers. The page limit for regular research papers is 8 pages. Additionally, we welcome submission of work-in-progress as short paper of up to 4 pages long. Papers of this type describe an ongoing work that has not yet reached the maturity required for a research paper. Further, we solicit vision papers (up to 4 pages) that describe a vision for the future of the field of visual exploration and analytics. Finally, we accept system papers and demos up to 4 pages long.

    Papers must be original and not submitted or accepted for publication in any other workshop, conference or journal.

    Papers should be submitted electronically as PDF documents and be formatted according to the ACM SIG Proceedings double-column template ( Submissions will be accepted only through the submission site EasyChair at All workshop papers will be indexed by DBLP and will be published online at CEUR (

    Authors of selected papers will be invited to submit extended versions of their work to the Special Issue "Big Data Exploration, Visualization and Analytics" of the Big Data Research Journal, Elsevier. a Special Issue of the Big Data Research Journal, Elsevier.

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

    BigVis 2018 Call for Papers [cfp.pdf]