Conference Paper: Improved approximate string matching using compressed suffix data structures

File Download Links for fulltext
(May Require Subscription)
Supplementary
  • Basic View
  • Metadata View
  • XML View
TitleImproved approximate string matching using compressed suffix data structures
AuthorsLam, TW1
Sung, WK2
Wong, SS2
Issue Date2008
PublisherSpringer New York LLC. The Journal's web site is located at http://link.springer.de/link/service/journals/00453/index.htm
CitationAlgorithmica (New York), 2008, v. 51 n. 3, p. 298-314 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s00453-007-9104-8
AbstractApproximate string matching is about finding a given string pattern in a text by allowing some degree of errors. In this paper we present a space efficient data structure to solve the 1-mismatch and 1-difference problems. Given a text T of length n over an alphabet A, we can preprocess T and give an O(n √log n log |A|)-bit space data structure so that, for any query pattern P of length m, we can find all 1-mismatch (or 1-difference) occurrences of P in O(|A|m log log n+occ) time, where occ is the number of occurrences. This is the fastest known query time given that the space of the data structure is o(n log2 n) bits. The space of our data structure can be further reduced to O(n log |A|) with the query time increasing by a factor of log ε n, for 0 < ε ≤ 1. Furthermore, our solution can be generalized to solve the k-mismatch (and the k-difference) problem in O(|A| k mk (k + log log n) + occ) and O(logε n(|A|k mk (k + log log n) + occ)) time using an O(n √log n log |A|)-bit and an O(n log |A|)-bit indexing data structures, respectively. We assume that the alphabet size |A| is bounded by O(2 √log n) for the O(n√log n log |A|)-bit space data structure. © 2007 Springer Science+Business Media, LLC.
ISSN0178-4617
2011 Impact Factor: 0.604
2011 SCImago Journal Rankings: 0.042
DOIhttp://dx.doi.org/10.1007/s00453-007-9104-8
ISI Accession Number IDWOS:000255874200005
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorLam, TW
dc.contributor.authorSung, WK
dc.contributor.authorWong, SS
dc.date.accessioned2012-06-26T06:30:42Z
dc.date.available2012-06-26T06:30:42Z
dc.date.issued2008
dc.description.abstractApproximate string matching is about finding a given string pattern in a text by allowing some degree of errors. In this paper we present a space efficient data structure to solve the 1-mismatch and 1-difference problems. Given a text T of length n over an alphabet A, we can preprocess T and give an O(n √log n log |A|)-bit space data structure so that, for any query pattern P of length m, we can find all 1-mismatch (or 1-difference) occurrences of P in O(|A|m log log n+occ) time, where occ is the number of occurrences. This is the fastest known query time given that the space of the data structure is o(n log2 n) bits. The space of our data structure can be further reduced to O(n log |A|) with the query time increasing by a factor of log ε n, for 0 < ε ≤ 1. Furthermore, our solution can be generalized to solve the k-mismatch (and the k-difference) problem in O(|A| k mk (k + log log n) + occ) and O(logε n(|A|k mk (k + log log n) + occ)) time using an O(n √log n log |A|)-bit and an O(n log |A|)-bit indexing data structures, respectively. We assume that the alphabet size |A| is bounded by O(2 √log n) for the O(n√log n log |A|)-bit space data structure. © 2007 Springer Science+Business Media, LLC.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationAlgorithmica (New York), 2008, v. 51 n. 3, p. 298-314 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s00453-007-9104-8
dc.identifier.doihttp://dx.doi.org/10.1007/s00453-007-9104-8
dc.identifier.epage314
dc.identifier.isiWOS:000255874200005
dc.identifier.issn0178-4617
2011 Impact Factor: 0.604
2011 SCImago Journal Rankings: 0.042
dc.identifier.issue3
dc.identifier.scopuseid_2-s2.0-43949112336
dc.identifier.spage298
dc.identifier.urihttp://hdl.handle.net/10722/151910
dc.identifier.volume51
dc.languageeng
dc.publisherSpringer New York LLC. The Journal's web site is located at http://link.springer.de/link/service/journals/00453/index.htm
dc.publisher.placeUnited States
dc.relation.ispartofAlgorithmica (New York)
dc.relation.referencesReferences in Scopus
dc.titleImproved approximate string matching using compressed suffix data structures
dc.typeConference_Paper
Author Affiliations
  1. The University of Hong Kong
  2. National University of Singapore