Visual Analytics: Definition, Process, and Challenges

  title={Visual Analytics: Definition, Process, and Challenges},
  author={Daniel A. Keim and Gennady L. Andrienko and Jean-Daniel Fekete and Carsten G{\"o}rg and J{\"o}rn Kohlhammer and Guy Melançon},
  booktitle={Information Visualization},
We are living in a world which faces a rapidly increasing amount of data to be dealt with on a daily basis. In the last decade, the steady improvement of data storage devices and means to create and collect data along the way influenced our way of dealing with information: Most of the time, data is stored without filtering and refinement for later use. Virtually every branch of industry or business, and any political or personal activity nowadays generate vast amounts of data. Making matters… 
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43 Visual Data-Mining Techniques*
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It is argued that by using the right visual analytics tools for the analysis of massive collections of movement data, it is possible to effectively support human analysts in understanding movement behaviors and mobility patterns.
Trio: A System for Integrated Management of Data, Accuracy, and Lineage
This paper provides numerous motivating applications for Trio and lays out preliminary plans for the data model, query language, and prototype system.
Visual Methods for Analyzing Time-Oriented Data
This paper focuses on the unique role of the parameter time in the context of visually driven data analysis and describes event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.
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. . . any phenomenon (that being an observable fact or event) can only be measured with finite precision so that, if X is a standard uniform random variable, then it can, realistically speaking, take
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The value of visualization
  • J. V. Wijk
  • Art
    VIS 05. IEEE Visualization, 2005.
  • 2005
An economic model of visualization is presented, and benefits and costs are established, and two alternative views on visualization are presented and discussed: viewing visualization as an art or as a scientific discipline.
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Pixel based visual data mining of geo-spatial data