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A Fuzzy Attribute-Oriented Induction Method for Knowledge Discovery in Relational Databases

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Advances in Database Technologies (ER 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1552))

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Abstract

In this paper, we propose a fuzzy attribute-oriented induction method for knowledge discovery in relational databases. This method is adapted from the DBLearn system by representing background knowledge with fuzzy thesauri and fuzzy labels. These models allow to take into account inherent imprecision and uncertainty of the domain representation. We also show the power of fuzzy thesauri and linguistic variables to describe gradations in the generalization process and to handle exceptions.

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References

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Author information

Authors and Affiliations

  1. IRIN, Université de Nantes, 2 rue de la Houssinière, BP 92208, 44322, Nantes Cedex 3, France

    Noureddine Mouaddib & Guillaume Raschia

Authors
  1. Noureddine Mouaddib
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  2. Guillaume Raschia
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Dept. of Social Informatics, Kyoto University, 606-8501, Yoshida Sakyo Kyoto, Japan

    Yahiko Kambayashi

  2. Dept. of Computer Science Clear Water Bay, Hong Kong University of Science and Technology, Hong Kong, China

    Dik Lun Lee

  3. School of Applied Science, Nanyang Technological University, N4-2A-12, Nanyang Avenue, 639798, Singapore

    Ee-Peng Lim

  4. School of Computer and Information Science The Levels Campus, University of South Australia, Mawson Lakes, 5095, S.A., Australia

    Mukesh Kumar Mohania

  5. Faculty of Science, Dept. of Information Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Yoshifumi Masunaga

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© 1999 Springer-Verlag Berlin Heidelberg

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Mouaddib, N., Raschia, G. (1999). A Fuzzy Attribute-Oriented Induction Method for Knowledge Discovery in Relational Databases. In: Kambayashi, Y., Lee, D.L., Lim, EP., Mohania, M.K., Masunaga, Y. (eds) Advances in Database Technologies. ER 1998. Lecture Notes in Computer Science, vol 1552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49121-7_1

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  • DOI: https://doi.org/10.1007/978-3-540-49121-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65690-6

  • Online ISBN: 978-3-540-49121-7

  • eBook Packages: Springer Book Archive

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