Information Visualization, Visual Data Mining and Machine Learning

Keim, Daniel A.;Rossi, Fabrice;Seidl, Thomas;Verleysen, Michel;Wrobel, Stefan
(2012) Dagstuhl Seminar 12081 — Location: Schloss Dagstuhl-Leibnitz-Zentrum für Informatik (Germany) (19.February.2012)

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Authors
  • Keim, Daniel A.Universität Konstanz
    Author
  • Rossi, FabriceUniversité Paris 1
    Author
  • Seidl, ThomasRWTH Aachen
    Author
  • Author
  • Wrobel, StefanFraunhofer IAIS, Bonn
    Author
Abstract
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.
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Citations

Keim, D. A., Rossi, F., Seidl, T., Verleysen, M., & Wrobel, S. (2012). Information Visualization, Visual Data Mining and Machine Learning. In Daniel A.Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel (ed.), Dagstuhl Reports (p. p. 58-83). Dagstuhl Publishing. https://doi.org/10.4230/DagRep.2.2.58