Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/42090
DC FieldValue
dc.titleCompressed indexes for approximate string matching
dc.contributor.authorChan, H.-L.
dc.contributor.authorLam, T.-W.
dc.contributor.authorSung, W.-K.
dc.contributor.authorTam, S.-L.
dc.contributor.authorWong, S.-S.
dc.date.accessioned2013-07-04T08:43:06Z
dc.date.available2013-07-04T08:43:06Z
dc.date.issued2006
dc.identifier.citationChan, H.-L.,Lam, T.-W.,Sung, W.-K.,Tam, S.-L.,Wong, S.-S. (2006). Compressed indexes for approximate string matching. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4168 LNCS : 208-219. ScholarBank@NUS Repository.
dc.identifier.isbn3540388753
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42090
dc.description.abstractWe revisit the problem of indexing a string 5[1.n] to support searching all substrings in S that match a given pattern P[1.m] with at most k errors. Previous solutions either require an index of size exponential in k or need Ω(m k) time for searching. Motivated by the indexing of DNA sequences, we investigate space efficient indexes that occupy only O(n) space. For k = 1, we give an index to support matching in O(m+occ+lognloglogn) time. The previously best solution achieving this time complexity requires an index of size O(n log n). This new index can be used to improve existing indexes for k ≥ 2 errors. Among others, it can support matching with k = 2 errors in O(m log n log log n + occ) time. © Springer-Verlag Berlin Heidelberg 2006.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4168 LNCS
dc.description.page208-219
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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