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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.

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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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DOI: 10.4230/DFU.Vol2.SciViz.2011.240

Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model

Authors: Tamara Munzner, Aaron Barsky, and Matt Williams

Published in: Dagstuhl Follow-Ups, Volume 2, Scientific Visualization: Interactions, Features, Metaphors (2011)

Abstract

We present lessons learned from the iterative design of QuestVis, a visualization interface for the QUEST environmental sustainability model. The QUEST model predicts the effects of policy choices in the present using scenarios of future outcomes that consist of several hundred indicators. QuestVis treats this information as a high-dimensional dataset, and shows the relationship between input choices and output indicators using linked views and a compact multilevel browser for indicator values. A first prototype also featured an overview of the space of all possible scenarios based on dimensionality reduction, but this representation was deemed to be be inappropriate for a target audience of people unfamiliar with data analysis. A second prototype with a considerably simplified and streamlined interface was created that supported comparison between multiple scenarios using a flexible approach to aggregation. However, QuestVis was not deployed because of a mismatch between the design goals of the project and the true needs of the target user community, who did not need to carry out detailed analysis of the high-dimensional dataset. We discuss this breakdown in the context of a nested model for visualization design and evaluation.

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Tamara Munzner, Aaron Barsky, and Matt Williams. Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model. In Scientific Visualization: Interactions, Features, Metaphors. Dagstuhl Follow-Ups, Volume 2, pp. 240-259, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InCollection{munzner_et_al:DFU.Vol2.SciViz.2011.240,
  author =	{Munzner, Tamara and Barsky, Aaron and Williams, Matt},
  title =	{{Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model }},
  booktitle =	{Scientific Visualization: Interactions, Features, Metaphors},
  pages =	{240--259},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-26-2},
  ISSN =	{1868-8977},
  year =	{2011},
  volume =	{2},
  editor =	{Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol2.SciViz.2011.240},
  URN =		{urn:nbn:de:0030-drops-32970},
  doi =		{10.4230/DFU.Vol2.SciViz.2011.240},
  annote =	{Keywords: high-dimensional visualization, dimensionality reduction, linked views, simulation visualization, design study}
}

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Documents authored by Munzner, Tamara

Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)

Abstract

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Reflections on QuestVis: A Visualization System for an Environmental Sustainability Model

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