In the last decade Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human-computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed.

Call for paper

Topics of submission

The scientific scope of the symposium includes, but is not limited to:

  • Visual Analytics of High-dimensional and Spatio-temporal Data

  • Scientific and Information Visualisation

  • Machine Learning and Data Mining for Big Data Visual Analytics

  • Visual Representation and Interaction

  • Perception and Cognition of Visual Information

  • Analytical Reasoning and Sense-making on Big Data

  • Context-driven User Querying and Semantics-driven Visual Analytics

  • Evaluation Methods for Visual Analytics

  • Visual Analytics Algorithms and Foundations

  • High Performance Graphics for Visualisation

  • Advanced Technologies and Applications for Visual Analytics

  • Virtual and Augmented Reality for Visual Analytics

  • Art and Science for Visual Analytics

  • Big Data Management, Transformation, and Presentation

  • Visual Analytics Processes and Workflows

  • Simulation for Visual Analytics


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