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Relations in GUHA Style Data Mining

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Relational Methods in Computer Science (RelMiCS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2561))

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Abstract

The formalism of GUHA style data mining is confronted with the approach of relational structures of Orlowska and others. A computational complexity result on tautologies with implicational quantifiers is presented.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science AS CR, Pod Vodárenskou věží 2, Prague 8, Czech Republic

    Petr Hájek

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  1. Petr Hájek
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Editors and Affiliations

  1. Tilburg University, P.O. Box 90153, 5000, LE Tilburg, The Netherlands

    Harrie C. M. de Swart

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© 2002 Springer-Verlag Berlin Heidelberg

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Hájek, P. (2002). Relations in GUHA Style Data Mining. In: de Swart, H.C.M. (eds) Relational Methods in Computer Science. RelMiCS 2001. Lecture Notes in Computer Science, vol 2561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36280-0_6

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  • DOI: https://doi.org/10.1007/3-540-36280-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00315-1

  • Online ISBN: 978-3-540-36280-7

  • eBook Packages: Springer Book Archive

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