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dc.contributor.authorHAN, WOOK SHIN-
dc.contributor.authorJUNG, Soon Ki-
dc.contributor.authorSHIN, Jeyong-
dc.contributor.authorLEE, Jinsoo-
dc.contributor.authorYOON, Mina-
dc.contributor.authorYOON, Chang Geol-
dc.contributor.authorSEO, Won Seok-
dc.contributor.authorKoo, Sang Ok-
dc.date.accessioned2018-10-22T08:24:25Z-
dc.date.available2018-10-22T08:24:25Z-
dc.date.created2018-08-30-
dc.date.issued2007-08-21-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/94086-
dc.languageEnglish-
dc.publisherIEEE-
dc.relation.isPartOfInternational Conference on Intelligent Computing-
dc.relation.isPartOfProc. International Conference on Intelligent Computing-
dc.titleA Scalable Pipeline Data Processing Framework Using Database and Visualization Techniques-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationInternational Conference on Intelligent Computing , pp.334 - 344-
dc.citation.conferenceDate2007-08-21-
dc.citation.conferencePlaceCC-
dc.citation.endPage344-
dc.citation.startPage334-
dc.citation.titleInternational Conference on Intelligent Computing-
dc.contributor.affiliatedAuthorHAN, WOOK SHIN-
dc.description.journalClass1-
dc.description.journalClass1-

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