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KD in FM: Knowledge discovery in facilities management databases

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Database and Expert Systems Applications (DEXA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1460))

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Abstract

The KD in FM project aims to investigate how Knowledge Discovery in Databases (KDD), and particularly data mining, techniques can be applied to the distributed, heterogeneous and autonomous data sources found in the Facilities Management (FM) environment. The problems associated with multiple disparate databases are examined as is recent research in heterogeneous database mining. Finally, we describe the architecture of a system for KDD in this environment and suggest some suitable data mining techniques.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Liverpool, Chadwick Building, P.O. Box 147, L69 3BX, Liverpool, England

    G. Goulbourne, F. Coenen & P. Leng

Authors
  1. G. Goulbourne
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  2. F. Coenen
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  3. P. Leng
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Editor information

Gerald Quirchmayr Erich Schweighofer Trevor J.M. Bench-Capon

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© 1998 Springer-Verlag Berlin Heidelberg

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Goulbourne, G., Coenen, F., Leng, P. (1998). KD in FM: Knowledge discovery in facilities management databases. In: Quirchmayr, G., Schweighofer, E., Bench-Capon, T.J. (eds) Database and Expert Systems Applications. DEXA 1998. Lecture Notes in Computer Science, vol 1460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054536

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  • DOI: https://doi.org/10.1007/BFb0054536

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64950-2

  • Online ISBN: 978-3-540-68060-4

  • eBook Packages: Springer Book Archive

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