BDVA 2016 - 2nd International Symposium on Big Data Visual Analytics

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.
BDVA ’16
The symposium will be held in sunny Brisbane, at Queensland University of Technology (QUT) Gardens Point campus. BDVA ’16 will host an exciting programme with internationally renowned keynote speakers, special sessions, and a day of complimentary hands-on workshops. BDVA ’16 aims to:
bring together leading experts from all relevant scientific domains to advance the understanding of visual analytics of complex, big, and dynamic data;
provide an exciting venue for researchers to network and establish national and international collaborations;
and provide early career scientists with an inspiring event allowing them to connect to relevant experts in the field.
Scope
The symposium will accept a range of manuscript types, including methods, systems, applications evaluation techniques and theoretical work in the area of Visual Analytics. 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