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Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081)

Authors Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, Stefan Wrobel and all authors of the abstracts in this report

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Keywords
  • Information visualization
  • visual data mining
  • machine learning
  • nonlinear dimensionality reduction
  • exploratory data analysis

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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.

Cite As Get BibTex

Daniel A. Keim, Fabrice Rossi, Thomas Seidl, Michel Verleysen, and Stefan Wrobel. Information Visualization, Visual Data Mining and Machine Learning (Dagstuhl Seminar 12081). In Dagstuhl Reports, Volume 2, Issue 2, pp. 58-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012) https://doi.org/10.4230/DagRep.2.2.58

Author Details

Daniel A. Keim
Fabrice Rossi
Thomas Seidl
Michel Verleysen
Stefan Wrobel
and all authors of the abstracts in this report
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