A new algorithm for the characteristic string problem under loose similarity criteria

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    Given two strings S and T, together with an integer representing the similarity bound, the characteristic string problem consists in finding the shortest substrings of T such that S has no substrings similar to them, in the sense that one string is similar to another if the amount of 'dissimilarities' between them is less than or equal to the similarity bound. Under the similarity criterion that uses Levenshtain distance to measure the amount of dissimilarities between two strings, this problem is known to be solvable in cubic time and linear space. The present article proposes a new algorithm for this problem that performs in almost quadratic time and almost linear space, under a certain class of similarity criteria, including the similarity criterion based on Levenshtain distance.

    Original languageEnglish
    Title of host publicationAlgorithms and Computation - 22nd International Symposium, ISAAC 2011, Proceedings
    Pages663-672
    Number of pages10
    DOIs
    Publication statusPublished - 2011
    Event22nd International Symposium on Algorithms and Computation, ISAAC 2011 - Yokohama, Japan
    Duration: 2011 Dec 52011 Dec 8

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7074 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other22nd International Symposium on Algorithms and Computation, ISAAC 2011
    Country/TerritoryJapan
    CityYokohama
    Period11/12/511/12/8

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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