International Symposium Visual Analytics, VA
	Symposium Theme --------------------------------------------------------------------------------- Visual Analytic Visual Analytics is a science of analytical reasoning facilitated by interactive visual interfaces. The key role in visual analytics belongs to visual and interactive data mining. Visual data mining research seeks to enhance the knowledge discovery process through the use of graphical representations of data mining results and processes and through the combination of visual and computational approaches to data exploration. By leveraging human perceptions of the visual space, patterns that might not otherwise be discovered will be identified through the use of visual data mining techniques. Visual data mining utilizes concepts from a wide variety of disciplines, including: computer graphics, information visualization, knowledge discovery, cognition and visual perception. Papers on all aspects of visual data mining and analytics are solicited. Papers will be refereed and appear in the conference proceedings, which will be published by IEEE Computer Society. A selection of the best papers will be recommended for publication in special issues of scientific journals, or as an edited book. Topics of interest: Combining visual and computational methods of data analysis Visual querying Visual analytics of spatial, temporal, and spatio-temporal data Knowledge construction and management in visual analytics Cognitive approaches and explanations for visual data mining Visualization of data mining algorithm Scalability issues Empirical studies of performance Evaluation of visual data mining methods Collaborative visualization and mining Applications of visual data mining and analytics Case studies Computational steering for long-running data mining applications Reviews and surveys of related literature Submission procedures: http://www.graphicslink.co.uk/IV09/PAPERS.htm Further information: http://www.graphicslink.co.uk/IV09/
http://www.graphicslink.co.uk/IV09/VDMA.htm
Dr Gennady Andrienko Fraunhofer Institute Intelligent Anaysis and Information Systems (IAIS), Germany: gennady.andrienko@iais.fraunhofer.de Dr Dennis Groth - Indiana University, USA: dgroth@indiana.edu Professor Georges Grinstein, Ph.D. Computer Science Department University of Massachusetts Lowell Lowell, MA 01854 Tel: 978.934.3627 Fax: 978-934-3551 Email: grinstein@cs.uml.edu		All other enquiries and submissions should be addressed to: Conference Co-ordinator
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