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Generating Fuzzy Summaries From Fuzzy Multidimensional Databases

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Advances in Intelligent Data Analysis (IDA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2189))

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Abstract

Fuzzy Multidimensional Databases and OLAP (On Line Analytical Processing) are very efficient for data mining ([3,8]). In [9], we have defined an extension of these databases in order to handle imperfect information and flexible multidimensional queries. An architecture is proposed for knowledge discovery. It integrates fuzzy multidimensional databases and learning systems. We investigate here the problem of generating relevant fuzzy summaries from fuzzy multidimensional databases.

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References

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Author information

Authors and Affiliations

  1. Université Pierre et Marie Curie LIP6, 8, rue du capitaine Scott, F-75015, Paris, France

    Anne Laurent

Authors
  1. Anne Laurent
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Editor information

Editors and Affiliations

  1. Royal Institute of Technology, Centre for Autonomous Systems, 10044, Stockholm, Sweden

    Frank Hoffmann

  2. Imperial College, Huxley Building 180 Queen’s Gate, London, SW7 2BZ, UK

    David J. Hand  & Niall Adams  & 

  3. Department of Computer Science, Vanderbilt University, Box 1679, Station B, Nashville, TN, 37235, USA

    Douglas Fisher

  4. Department of Computer Science, New University of Lisbon, 2825-114, Caparica, Portugal

    Gabriela Guimaraes

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© 2001 Springer-Verlag Berlin Heidelberg

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Laurent, A. (2001). Generating Fuzzy Summaries From Fuzzy Multidimensional Databases. In: Hoffmann, F., Hand, D.J., Adams, N., Fisher, D., Guimaraes, G. (eds) Advances in Intelligent Data Analysis. IDA 2001. Lecture Notes in Computer Science, vol 2189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44816-0_3

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  • DOI: https://doi.org/10.1007/3-540-44816-0_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42581-6

  • Online ISBN: 978-3-540-44816-7

  • eBook Packages: Springer Book Archive

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