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https://scholarbank.nus.edu.sg/handle/10635/42090
DC Field | Value | |
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dc.title | Compressed indexes for approximate string matching | |
dc.contributor.author | Chan, H.-L. | |
dc.contributor.author | Lam, T.-W. | |
dc.contributor.author | Sung, W.-K. | |
dc.contributor.author | Tam, S.-L. | |
dc.contributor.author | Wong, S.-S. | |
dc.date.accessioned | 2013-07-04T08:43:06Z | |
dc.date.available | 2013-07-04T08:43:06Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Chan, 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.isbn | 3540388753 | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/42090 | |
dc.description.abstract | We 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.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.description.volume | 4168 LNCS | |
dc.description.page | 208-219 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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