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Approximate Pattern Matching in Shared-Forest

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

We present a proposal intended to demonstrate the applicability of tabulation techniques to pattern recognition problems, when dealing with structures sharing some common parts. This work is motivated by the study of information retrieval for textual databases, using pattern matching as a basis for querying data.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, Campus de Elviña s/n, 15071 A, Coruña, Spain

    F. J. Ribadas & V. M. Darriba

Authors
  1. M. Vilares
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  2. F. J. Ribadas
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  3. V. M. Darriba
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Vilares, M., Ribadas, F.J., Darriba, V.M. (2000). Approximate Pattern Matching in Shared-Forest. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_30

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  • DOI: https://doi.org/10.1007/3-540-44469-6_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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