License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.5.3.1
URN: urn:nbn:de:0030-drops-52665
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/5266/
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Keim, Daniel A. ; Munzner, Tamara ; Rossi, Fabrice ; Verleysen, Michael
Weitere Beteiligte (Hrsg. etc.): Daniel A. Keim and Tamara Munzner and Fabrice Rossi and Michel Verleysen

Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)

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dagrep_v005_i003_p001_s15101.pdf (1 MB)

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.

BibTeX - Entry

@Article{keim_et_al:DR:2015:5266,
  author =	{Daniel A. Keim and Tamara Munzner and Fabrice Rossi and Michael Verleysen},
  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 =	{Daniel A. Keim and Tamara Munzner and Fabrice Rossi and Michel Verleysen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/5266},
  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}
}

Keywords: Information visualization, Machine learning, Visual data mining, Exploratory data analysis
Collection: Dagstuhl Reports, Volume 5, Issue 3
Issue Date: 2015
Date of publication: 16.07.2015

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