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Improving on-line construction of two-dimensional suffix trees for square matrices

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dc.contributor.authorNa, Joong Chae-
dc.contributor.authorKim, Namhee-
dc.contributor.authorSim, Jeong Seop-
dc.contributor.authorKim, Dong Kyue-
dc.date.accessioned2022-12-20T22:51:18Z-
dc.date.available2022-12-20T22:51:18Z-
dc.date.created2022-08-26-
dc.date.issued2009-04-
dc.identifier.issn0020-0190-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/177040-
dc.description.abstractThe two-dimensional (2-D) suffix tree of an n x n square matrix A is a compacted trie that represents all square submatrices of A. We consider constructing 2-D suffix trees on-line, which means, instead of giving the whole matrix A in advance, A is separated and each part of A is given at different time as algorithms proceed. In general, developing an on-line algorithm is more difficult than developing an off-line algorithm. Moreover, the smaller the input grain size is, the harder it is to develop an on-line algorithm. In the case of 2-D suffix tree construction, dealing with a character at a time is harder than dealing with a row or a column at a time. In this paper we propose a randomized linear-time algorithm for constructing 2-D suffix trees on-line. This algorithm is superior to previous algorithms in two ways: (1) This is the first linear-time algorithm for constructing 2-D suffix trees on-line. Although there have been some linear-time algorithms for off-line construction, there were no linear-time algorithms for on-line construction. (2) We deal with the most fine-grain on-line case, i.e., our algorithm can construct a 2-D suffix tree even though only one character of A is given at a time, while previous on-line algorithms require at least a row and/or a column at a time.-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER-
dc.titleImproving on-line construction of two-dimensional suffix trees for square matrices-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Dong Kyue-
dc.identifier.doi10.1016/j.ipl.2009.01.026-
dc.identifier.scopusid2-s2.0-62549088657-
dc.identifier.wosid000265305300010-
dc.identifier.bibliographicCitationINFORMATION PROCESSING LETTERS, v.109, no.10, pp.504 - 508-
dc.relation.isPartOfINFORMATION PROCESSING LETTERS-
dc.citation.titleINFORMATION PROCESSING LETTERS-
dc.citation.volume109-
dc.citation.number10-
dc.citation.startPage504-
dc.citation.endPage508-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.subject.keywordPlusClustering algorithms-
dc.subject.keywordPlusData structures-
dc.subject.keywordPlusTwo dimensional-
dc.subject.keywordPlusTrees (mathematics)-
dc.subject.keywordPlusDesign of algorithms-
dc.subject.keywordPlusIndex data structures-
dc.subject.keywordPlusOn-line algorithms-
dc.subject.keywordPlusRandomized algorithms-
dc.subject.keywordPlusTwo-dimensional suffix trees-
dc.subject.keywordAuthorDesign of algorithms-
dc.subject.keywordAuthorTwo-dimensional suffix trees-
dc.subject.keywordAuthorIndex data structures-
dc.subject.keywordAuthorOn-line algorithms-
dc.subject.keywordAuthorRandomized algorithms-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0020019009000209?via%3Dihub-
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