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On analyzing scientific literature databases

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dc.contributor.authorHong, Jiwon-
dc.contributor.authorYoon, Seok-Ho-
dc.contributor.authorHwang, Won-Seok-
dc.contributor.authorBae, Duck-Ho-
dc.contributor.authorKim, Sang-Wook-
dc.date.accessioned2022-07-16T18:27:50Z-
dc.date.available2022-07-16T18:27:50Z-
dc.date.created2021-05-11-
dc.date.issued2011-11-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167283-
dc.description.abstractIn this paper, we address analyzing of scientific literature databases. We discuss the issues of paper ranking, similarity measures for a pair of papers, and clustering of papers of a same topic. We present some experimental results related to each issue.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleOn analyzing scientific literature databases-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.scopusid2-s2.0-84869486015-
dc.identifier.bibliographicCitationProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011, pp.123 - 126-
dc.relation.isPartOfProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011-
dc.citation.titleProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011-
dc.citation.startPage123-
dc.citation.endPage126-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusScientific literature-
dc.subject.keywordPlusSimilarity measure-
dc.subject.keywordPlusComputer science-
dc.subject.keywordPlusInformation technology-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6316588-
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