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Category ESANN 2011
Deadline: November 24, 2010 | Date: April 27, 2011-April 29, 2011
Venue/Country: Bruges, Belgium
Updated: 2010-10-01 22:39:16 (GMT+9)
AIMS & SCOPEData visualization is crucial in many real-world problems dealing withknowledge extraction. Adequate and intuitive data visualizationtechniques may provide much insight about the information underlying agiven data set.Visualization processes are usually unproblematic when data setsconsist of only a reduced number of attributes, but the scenario maybecome much more difficult when dealing with high-dimensional data.These are becoming increasingly common in real-world applications.Straightforward visualization can also be non-trivial for structureddata such as large trees, graphs or time series.Lately, much research in the machine learning and computationalintelligence fields has been devoted to the development of high-dimensional and structured data visualization techniques. Dynamic and/or interactive visualization methods are also becoming more readilyavailable.This session aims to respond to the need for such techniques in real-world application areas for which visualization is paramount. Aparticular emphasis will be put on medical applications, but thesubmission of results from other fields is encouraged, especially ifresearch addresses the challenges outlined above, concerning datadimensionality or complexity issues.The theme should appeal both to scientists interested in thedevelopment of novel data visualization methods and to those mainlyinterested in the application of such techniques to specific realproblems.Session organizers:Dr. Alfredo Vellido (Technical University of Catalonia, Spain),Dr. José D. Martín (University of Valencia, Spain),Prof. Paulo J. G. Lisboa (Liverpool John Moores University, U.K.)Prof. Fabrice Rossi (Télécom ParisTech, France).Important dates:Deadline for submission: November, 24thNotification of acceptance: January, 18thCamera-ready paper: February, 21stKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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