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The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4390))

Abstract

Strings are an important part of most real application multi-valued contexts. Their conceptual treatment requires the definition of substring scales, i.e., sets of relevant substrings, so as to form informative concepts. However these scales are either defined by hand, or derived in a context-unaware manner (e.g., all words occuring in string values). We present an efficient algorithm based on suffix trees that produces complete and concise substring scales. Completeness ensures that every possible concept is formed, like when considering the scale of all substrings. Conciseness ensures the number of scale attributes (substrings) is less than the cumulated size of all string values. This algorithm is integrated in Camelis, and illustrated on the set of all ICCS paper titles.

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Sergei O. Kuznetsov Stefan Schmidt

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Ferré, S. (2007). The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees. In: Kuznetsov, S.O., Schmidt, S. (eds) Formal Concept Analysis. ICFCA 2007. Lecture Notes in Computer Science(), vol 4390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70901-5_7

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  • DOI: https://doi.org/10.1007/978-3-540-70901-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70828-5

  • Online ISBN: 978-3-540-70901-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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