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Context Visualization for Visual Data Mining

  • Mao Lin Huang
  • Quang Vinh Nguyen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4404)

Abstract

Context and history visualization plays an important role in visual data mining especially in the visual exploration of large and complex data sets. The preservation of context and history information in the visualization can improve user comprehension of the exploration process as well as enhance the reusability of mining techniques and parameters to archive the desired results. This chapter presents methodology and various interactive visualization techniques supporting visual data mining in general as well as for visual preservation of context and history information. Algorithms are also described in supporting such methodology for visual data mining in real time.

Keywords

Visualization Technique Visual Data Information Visualization Interactive Visualization Visual Exploration 
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 2008

Authors and Affiliations

  • Mao Lin Huang
    • 1
  • Quang Vinh Nguyen
    • 1
  1. 1.Faculty of Information TechnologyUniversity of TechnologySydneyAustralia

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