@inproceedings{Keim1995Recur-5839,
  year={1995},
  doi={10.1109/VISUAL.1995.485140},
  title={Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data},
  isbn={0-8186-7187-4},
  publisher={IEEE Comput. Soc. Press},
  booktitle={Proceedings Visualization '95},
  pages={279--286,},
  author={Keim, Daniel A. and Kriegel, Hans-Peter and Ankerst, Mihael}
}

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    <dcterms:title>Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data</dcterms:title>
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    <dc:creator>Kriegel, Hans-Peter</dc:creator>
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    <dc:contributor>Ankerst, Mihael</dc:contributor>
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    <dc:creator>Ankerst, Mihael</dc:creator>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Kriegel, Hans-Peter</dc:contributor>
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    <dcterms:abstract xml:lang="eng">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.</dcterms:abstract>
    <dcterms:bibliographicCitation>First publ. in: Visualization '95: proceedings, October 29 - November 3, 1995, Atlanta, Ga. / Ed. by Greg Nielson ... Los Alamitos : IEEE Computer Soc. Pr., 1995, pp. 279-286</dcterms:bibliographicCitation>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
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