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 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/cgiv2010/VA.htm
All enquiries should be addressed to:
Dr. Quang Vinh Nguyen, PhD University of Western Sydney Email: vinh@scm.uws.edu.au Homepage: http://www.scm.uws.edu.au/~vinh		Conference Co-ordinator URL: http://www.graphicslink.co.uk/cgiv2010/contact.htm
| TOP |