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Deadline: January 08, 2011 | Date: June 01, 2011-June 03, 2011
Venue/Country: Tsukuba, Japan
Updated: 2010-12-07 12:02:43 (GMT+9)
(Apologizes for cross-postings)Deadline for submission of papers: January 8, 2011Short overview (see http://www.dice.ucl.ac.be/~verleyse/ICCS%202011
for more detailed CFP):Data visualization plays an important role in data analysis and mining, by helping to find specificities of data (clusters, outliers, densities,...) that in turn determine the choice for analysis tools and algorithms. Recently, there has been an increasing scientific activity in the development of nonlinear algorithms for visualizing data, in the contexts of nonlinear dimensionality reduction and manifold learning. While algorithms are now established, there is still a lack of applicability in real-world situations, on high-dimensional data, and of objective criteria to assess the quality of the visualization. This workshop will concentrate on recent developments, including the applicability to high-dimensional data, the methodology to choose methods, and their objective evaluation.Workshop organizers:Michel Verleysen, Université cat. Louvain (Belgium), michel.verleysen
uclouvain.beFabrice Rossi, Télécom ParisTech (France), fabrice.rossi
telecom-paristech.frJohn Lee,Université cat. Louvain (Belgium), john.lee
uclouvain.bePaper submission and format :See http://www.dice.ucl.ac.be/~verleyse/ICCS%202011
for detailed instructions.Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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