An Interactive Visualization Environment for Data Exploration Using Points of Interest

نویسندگان

  • David Da Costa
  • Gilles Venturini
چکیده

We present in this paper an interactive method for numeric or symbolic data visualization that allows a domain expert to extract useful knowledge and information. We propose a new approach based on points of interest (POI) but in the context of visual data mining. POIs are located on a circle, and data are displayed within this circle according to their similarities to these POI. Interactive actions are possible: selection, zoom, dynamical change of POI. We evaluate the properties of such visualization with standard data with known characteristics. We describe an industrial application which explores results from satisfaction inquiries.

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تاریخ انتشار 2006