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Efficient Identification of k-Closed Strings

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Engineering Applications of Neural Networks (EANN 2017)

Abstract

A closed string contains a proper factor occurring as both a prefix and a suffix but not elsewhere in the string. Closed strings were introduced by Fici (WORDS 2011) as objects of combinatorial interest. In this paper, we extend this definition to k-closed strings, for which a level of approximation is permitted up to a number of Hamming distance errors, set by the parameter k. We then address the problem of identifying whether or not a given string of length n over an integer alphabet is k-closed and additionally specifying the border resulting in the string being k-closed. Specifically, we present an \(\mathcal {O}(kn)\)-time and \(\mathcal {O}(n)\)-space algorithm to achieve this along with the pseudocode of an implementation.

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Correspondence to Steven Watts .

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Alamro, H., Alzamel, M., Iliopoulos, C.S., Pissis, S.P., Watts, S., Sung, WK. (2017). Efficient Identification of k-Closed Strings. In: Boracchi, G., Iliadis, L., Jayne, C., Likas, A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham. https://doi.org/10.1007/978-3-319-65172-9_49

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  • DOI: https://doi.org/10.1007/978-3-319-65172-9_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65171-2

  • Online ISBN: 978-3-319-65172-9

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