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A classification and relationship extraction scheme for relational databases based on fuzzy logic

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Research and Development in Knowledge Discovery and Data Mining (PAKDD 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1394))

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References

  1. Gupta, M.M., and Yamakawa, T., 1988, (editors), Fuzzy Logic and Knowledge Based Systems, Decision and Control (North-Holland).

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  2. Srikant R., Agrawal R, “Mining Quantitative Association Rules in Large Relational Tables”, in the proceedings of ACM-SIGMOD '96 Conference.

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  3. Zadeh L. A., “Probability measures of fuzzy events”, Math. Anal. Applications, 23:421–427, 1968

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Author information

Authors and Affiliations

  1. Knowledge & Database Laboratory, Dept. of El. & Computer Engineering, National Technical University of Athens, 15773, Athens - HELLAS

    M. Vazirgiannis

Authors
  1. M. Vazirgiannis
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Editor information

Editors and Affiliations

  1. School of Computer Science and Software Engineering, Monash university, 900 Dandenong Road, Caulfield East, Victoria, 3145, Australia

    Xindong Wu

  2. Department of Computer Science, The University of Melbourne, Parkville, Victoria, 3052, Australia

    Ramamohanarao Kotagiri

  3. School of Computer Science and Engineering, Monash university, Clayton, Victoria, 3168, Australia

    Kevin B. Korb

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© 1998 Springer-Verlag Berlin Heidelberg

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Vazirgiannis, M. (1998). A classification and relationship extraction scheme for relational databases based on fuzzy logic. In: Wu, X., Kotagiri, R., Korb, K.B. (eds) Research and Development in Knowledge Discovery and Data Mining. PAKDD 1998. Lecture Notes in Computer Science, vol 1394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64383-4_49

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  • DOI: https://doi.org/10.1007/3-540-64383-4_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64383-8

  • Online ISBN: 978-3-540-69768-8

  • eBook Packages: Springer Book Archive

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