Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/42007
DC FieldValue
dc.titleString recedence count matrix
dc.contributor.authorCao, X.
dc.contributor.authorTung, A.K.H.
dc.contributor.authorOoi, B.C.
dc.contributor.authorTan, K.-L.
dc.contributor.authorLi, S.C.
dc.date.accessioned2013-07-04T08:41:04Z
dc.date.available2013-07-04T08:41:04Z
dc.date.issued2004
dc.identifier.citationCao, X.,Tung, A.K.H.,Ooi, B.C.,Tan, K.-L.,Li, S.C. (2004). String recedence count matrix. Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM 16 : 345-348. ScholarBank@NUS Repository.
dc.identifier.issn10993371
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/42007
dc.description.abstractIn this paper, we propose a filter-and-refine string join algorithm. While the filtering phase can rapidly prune away strings that are not joinable, the refinement phase employs a comprehensive algorithm to remove the remaining false alarms. The efficiency of the proposed scheme lies in the use of the precedence count matrix (PCM) for computing the edit distance between two sequences. With PCM, the complexity of sequence comparison is a constant time. We also evaluated the proposed sequence join algorithm, and our study shows that it outperforms the known techniques.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
dc.description.volume16
dc.description.page345-348
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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