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Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)

Authors: Daniel A. Keim, Tamara Munzner, Fabrice Rossi, and Michael Verleysen

Published in: Dagstuhl Reports, Volume 5, Issue 3 (2015)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 15101 "Bridging Information Visualization with Machine Learning". This seminar is a successor to Dagstuhl seminar 12081 "Information Visualization, Visual Data Mining and Machine Learning" held in 2012. The main goal of this second seminar was to identify important challenges to overcome in order to build systems that integrate machine learning and information visualization.

Cite as

Daniel A. Keim, Tamara Munzner, Fabrice Rossi, and Michael Verleysen. Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). In Dagstuhl Reports, Volume 5, Issue 3, pp. 1-27, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2015)


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@Article{keim_et_al:DagRep.5.3.1,
  author =	{Keim, Daniel A. and Munzner, Tamara and Rossi, Fabrice and Verleysen, Michael},
  title =	{{Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2015},
  volume =	{5},
  number =	{3},
  editor =	{Keim, Daniel A. and Munzner, Tamara and Rossi, Fabrice and Verleysen, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.5.3.1},
  URN =		{urn:nbn:de:0030-drops-52665},
  doi =		{10.4230/DagRep.5.3.1},
  annote =	{Keywords: Information visualization, Machine learning, Visual data mining, Exploratory data analysis}
}
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