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Visual Analysis and Exploration of Relationships

  • Beth Hetzler
Part of the Information Science and Knowledge Management book series (ISKM, volume 3)

Abstract

Relationships can provide a rich and powerful set of information and can be used to accomplish application goals, such as information retrieval and natural language processing. A growing trend in the information science community is the use of information visualization—taking advantage of people’s natural visual capabilities to perceive and understand complex information. This chapter explores how visualization and visual exploration can help users gain insight from known relationships and discover evidence of new relationships not previously anticipated.

Keywords

Association Rule Visual Analysis IEEE Symposium Graphical Attribute Information Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • Beth Hetzler
    • 1
  1. 1.Pacific Northwest National LaboratoryRichlandUSA

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