License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CPM.2018.9
URN: urn:nbn:de:0030-drops-87016
URL: https://drops.dagstuhl.de/opus/volltexte/2018/8701/
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Aoyama, Kotaro ; Nakashima, Yuto ; I, Tomohiro ; Inenaga, Shunsuke ; Bannai, Hideo ; Takeda, Masayuki

Faster Online Elastic Degenerate String Matching

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LIPIcs-CPM-2018-9.pdf (0.5 MB)


Abstract

An Elastic-Degenerate String [Iliopoulus et al., LATA 2017] is a sequence of sets of strings, which was recently proposed as a way to model a set of similar sequences. We give an online algorithm for the Elastic-Degenerate String Matching (EDSM) problem that runs in O(nm sqrt{m log m} + N) time and O(m) working space, where n is the number of elastic degenerate segments of the text, N is the total length of all strings in the text, and m is the length of the pattern. This improves the previous algorithm by Grossi et al. [CPM 2017] that runs in O(nm^2 + N) time.

BibTeX - Entry

@InProceedings{aoyama_et_al:LIPIcs:2018:8701,
  author =	{Kotaro Aoyama and Yuto Nakashima and Tomohiro I and Shunsuke Inenaga and Hideo Bannai and Masayuki Takeda},
  title =	{{Faster Online Elastic Degenerate String Matching}},
  booktitle =	{Annual Symposium on Combinatorial Pattern Matching  (CPM 2018)},
  pages =	{9:1--9:10},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-074-3},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{105},
  editor =	{Gonzalo Navarro and David Sankoff and Binhai Zhu},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2018/8701},
  URN =		{urn:nbn:de:0030-drops-87016},
  doi =		{10.4230/LIPIcs.CPM.2018.9},
  annote =	{Keywords: elastic degenerate pattern matching, boolean convolution}
}

Keywords: elastic degenerate pattern matching, boolean convolution
Collection: Annual Symposium on Combinatorial Pattern Matching (CPM 2018)
Issue Date: 2018
Date of publication: 18.05.2018


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