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Minimal Discriminating Words Problem Revisited

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String Processing and Information Retrieval (SPIRE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8214))

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Abstract

We revisit two variants of the problem of computing minimal discriminating words studied in [5]. Given a pattern P and a threshold d, we want to report (i) all shortest extensions of P which occur in less than d documents, and (ii) all shortest extensions of P which occur only in d selected documents. For the first problem, we give an optimal solution with constant time per output word. For the second problem, we propose an algorithm with running time O(|P| + d·(1 + output)) improving the solution of [5].

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-02432-5_33

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Gawrychowski, P., Kucherov, G., Nekrich, Y., Starikovskaya, T. (2013). Minimal Discriminating Words Problem Revisited. In: Kurland, O., Lewenstein, M., Porat, E. (eds) String Processing and Information Retrieval. SPIRE 2013. Lecture Notes in Computer Science, vol 8214. Springer, Cham. https://doi.org/10.1007/978-3-319-02432-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-02432-5_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02431-8

  • Online ISBN: 978-3-319-02432-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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