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Data Mining and Statistics

A Systems Point of View

  • Conference paper
Computational Intelligence in Data Mining

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 408))

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Abstract

Moore’s law has never been so obvious as it is now. New PC’s are equiped with hundreds of Megabytes of main memory, many Gigabytes of secondary storage and processors approaching a Gigaherz clockspeed. Fortunately1 the need for such resources is growing just as fast if not faster.

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Author information

Authors and Affiliations

  1. CWI, Amsterdam, The Netherlands

    A. Siebes

Authors
  1. A. Siebes
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Editor information

Editors and Affiliations

  1. University of Udine, Italy

    Giacomo Della Riccia

  2. Otto-Von-Guericke University, Germany

    Rudolf Kruse

  3. Free University of Berlin, Germany

    Hanz-J. Lenz

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© 2000 Springer-Verlag Wien

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Siebes, A. (2000). Data Mining and Statistics. In: Della Riccia, G., Kruse, R., Lenz, HJ. (eds) Computational Intelligence in Data Mining. International Centre for Mechanical Sciences, vol 408. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2588-5_1

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  • DOI: https://doi.org/10.1007/978-3-7091-2588-5_1

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83326-1

  • Online ISBN: 978-3-7091-2588-5

  • eBook Packages: Springer Book Archive

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