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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2017.41
URN: urn:nbn:de:0030-drops-78550
URL: http://drops.dagstuhl.de/opus/volltexte/2017/7855/
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Golan, Shay ; Porat, Ely

Real-Time Streaming Multi-Pattern Search for Constant Alphabet

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LIPIcs-ESA-2017-41.pdf (0.5 MB)


Abstract

In the streaming multi-pattern search problem, which is also known as the streaming dictionary matching problem, a set D={P_1,P_2, . . . ,P_d} of d patterns (strings over an alphabet Sigma), called the dictionary, is given to be preprocessed. Then, a text T arrives one character at a time and the goal is to report, before the next character arrives, the longest pattern in the dictionary that is a current suffix of T. We prove that for a constant size alphabet, there exists a randomized Monte-Carlo algorithm for the streaming dictionary matching problem that takes constant time per character and uses O(d log m) words of space, where m is the length of the longest pattern in the dictionary. In the case where the alphabet size is not constant, we introduce two new randomized Monte-Carlo algorithms with the following complexities: * O(log log |Sigma|) time per character in the worst case and O(d log m) words of space. * O(1/epsilon) time per character in the worst case and O(d |\Sigma|^epsilon log m/epsilon) words of space for any 0<epsilon<= 1. These results improve upon the algorithm of [Clifford et al., ESA'15] which uses O(d log m) words of space and takes O(log log (m+d)) time per character.

BibTeX - Entry

@InProceedings{golan_et_al:LIPIcs:2017:7855,
  author =	{Shay Golan and Ely Porat},
  title =	{{Real-Time Streaming Multi-Pattern Search for Constant Alphabet}},
  booktitle =	{25th Annual European Symposium on Algorithms (ESA 2017)},
  pages =	{41:1--41:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-049-1},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{87},
  editor =	{Kirk Pruhs and Christian Sohler},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7855},
  URN =		{urn:nbn:de:0030-drops-78550},
  doi =		{10.4230/LIPIcs.ESA.2017.41},
  annote =	{Keywords: multi-pattern, dictionary, streaming pattern matching, fingerprints}
}

Keywords: multi-pattern, dictionary, streaming pattern matching, fingerprints
Seminar: 25th Annual European Symposium on Algorithms (ESA 2017)
Issue Date: 2017
Date of publication: 31.08.2017


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