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Visualization Tree, Multiple Linked Analytical Decisions

  • José F. RodriguesJr.
  • Agma J. M. Traina
  • Caetano TrainaJr.
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3638)

Abstract

In this paper we tackle the main problem presented by the majority of Information Visualization techniques, that is, the limited number of data items that can be visualized simultaneously. Our approach proposes an innovative and interactive systematization that can augment the potential for data presentation by utilizing multiple views. These multiple presentation views are kept linked according to the analytical decisions took by the user and are tracked in a tree-like structure. Our emphasis is on developing an intuitive yet powerful system that helps the user to browse the information and to make decisions based both on overview and on detailed perspectives of the data under analysis. The visualization tree keeps track of the interactive actions taken by the user without losing context.

Keywords

Visualization Technique Information Visualization Structure Query Language Visual Query Visual Clutter 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • José F. RodriguesJr.
    • 1
  • Agma J. M. Traina
    • 1
  • Caetano TrainaJr.
    • 1
  1. 1.University of São Paulo at São CarlosCentroBrazil

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