Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data

  • Authors:

  • Daniel A. Keim;Mihael Ankerst;Hans-Peter Kriegel

  • Affiliations:

  • Institute for Computer Science, University of Munich, Leopoldstr. llB, D-80802 Munich;Institute for Computer Science, University of Munich, Leopoldstr. llB, D-80802 Munich;Institute for Computer Science, University of Munich, Leopoldstr. llB, D-80802 Munich

  • Venue:
  • VIS '95 Proceedings of the 6th conference on Visualization '95
  • Year:
  • 1995

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Abstract

An important goal of visualization technology is to support the exploration and analysis of very large amounts of data. In this paper, we propose a new visualization technique called `recursive pattern' which has been developed for visualizing large amounts of multidimensional data. The technique is based on a generic recursive scheme which generalizes a wide range of pixel-oriented arrangements for displaying large data sets. By instantiating the technique with adequate data- and application-dependent parameters, the user may largely influence the structure of the resulting visualizations. Since the technique uses one pixel for presenting each data value, the amount of data which can be displayed is only limited by the resolution of current display technology and by the limitations of human perceptibility. Beside describing the basic idea of the `recursive pattern' technique, we provide several examples of useful parameter settings for the various recursion levels. We further show that our `recursive pattern ' technique is particularly advantageous for the large class of data sets which have a natural order according to one dimension (e.g. time series data). We demonstrate the usefulness of our technique by using a stock market application.