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Information Visualization, Visual Data Mining and Machine Learning

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Keim, Daniel A. [Universität Konstanz] Rossi, Fabrice [Université Paris 1] Seidl, Thomas [RWTH Aachen] Verleysen, Michel [UCL] Wrobel, Stefan [Fraunhofer IAIS, Bonn]

This report documents the program and the outcomes of Dagstuhl Seminar 12081 “Information Visualization, Visual Data Mining and Machine Learning”. The aim of the seminar was to tighten the links between the information visualisation community and the machine learning community in order to explore how each field can benefit from the other and how to go beyond current hybridization successes.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Publication date 2012
Language Anglais
Conference "Dagstuhl Seminar 12081", Schloss Dagstuhl-Leibnitz-Zentrum für Informatik (Germany) (du 19/02/2012 au 24/02/2012)
Peer reviewed yes
Host document Daniel A.Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel ; "Dagstuhl Reports"- p. 58-83
Publisher Dagstuhl Publishing (Germany)
Publication status Publié
Affiliation UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique
Keywords Information visualization ; visual data mining ; machine learning ; nonlinear dimensionality reduction ; exploratory data analysis
Links
Bibliographic reference Keim, Daniel A. ; Rossi, Fabrice ; Seidl, Thomas ; Verleysen, Michel ; Wrobel, Stefan. Information Visualization, Visual Data Mining and Machine Learning.Dagstuhl Seminar 12081 (Schloss Dagstuhl-Leibnitz-Zentrum für Informatik (Germany), du 19/02/2012 au 24/02/2012). In: Daniel A.Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel, Dagstuhl Reports, Dagstuhl Publishing : Germany2012, p. 58-83
Permanent URL http://hdl.handle.net/2078.1/116818