International Symposium

Visual Analytics

CGiV_VA

 

Our knowledge-driven technology-mediated environment generates a huge amount of new information each year. Visual Analytics is a combination of automated analysis techniques (e.g. data mining, statistical analysis, compression and filtering), interactive visualizations, analytical reasoning and related disciplines to provide an effective platform for understanding, reasoning and supporting decision making. In other words, Visual Analytics can also be seen as an integral approach to decision making by combining interactive visualization, human-factors and data analysis. Therefore, it is particular suitable for the analysis of large information spaces.

Papers on all aspects of visual analytics, visual data mining and interactive visualizations are solicited. Topics include, but are not limited to:

Visual analytics of large data sets and networks

Visual analytics of spatial, temporal, and spatio-temporal data

Visual analytics and visualization using large high-resolution displays

Visual representations and interaction techniques

Visual analytics of medical data

Data management and transformation

Analytical reasoning

Combining visual and automated methods of data analysis

Visualization of data mining algorithms and outputs

Collaborative visualization and mining

Evaluation methods, applications and technology practice & experience

Reviews and surveys of related literature

www.graphicslink.co.uk/cgiv2019/VA.htm

All enquiries should be addressed to:

 

Dr. Quang Vinh Nguyen, PhD

University of Western Sydney

Email:

q.nguyen@westernsydney.edu.au

For any other inquiries, please contact: iV_CGiV@graphicslink.co.uk

| TOP |