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Performance Analysis for Multidimensional Indexing Methods Supporting Sequential Access

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dc.contributor.author차광호-
dc.date.accessioned2021-11-03T07:40:31Z-
dc.date.available2021-11-03T07:40:31Z-
dc.date.issued2004-05-
dc.identifier.issn1598-9798-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/62264-
dc.description.abstractThis paper presents a cost model that estimates the performance of multidimensional indexing methods that support sequential access. The cost model makes a distinction between page access costs depending on whether pages are accessed sequenlially or randomly. Our cost model shows almost the same performance curve as that of the experimenral results. A new index clustering technique to which our cost model is applied is also presented.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisher한국정보과학회-
dc.titlePerformance Analysis for Multidimensional Indexing Methods Supporting Sequential Access-
dc.title.alternativePerformance Analysis for Multidimensional Indexing Methods Supporting Sequential Access-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation데이타베이스연구, v.20, no.2, pp 26 - 33-
dc.citation.title데이타베이스연구-
dc.citation.volume20-
dc.citation.number2-
dc.citation.startPage26-
dc.citation.endPage33-
dc.identifier.kciidART001363287-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassdomestic-
dc.subject.keywordAuthorperformance analysis-
dc.subject.keywordAuthormultidimensional index-
dc.subject.keywordAuthorindex clustering-
dc.subject.keywordAuthordatabases-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02141404-
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