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dc.contributor.author김광재-
dc.contributor.author이원지-
dc.contributor.author이정혜-
dc.contributor.author전치혁-
dc.date.accessioned2018-06-18T12:21:55Z-
dc.date.available2018-06-18T12:21:55Z-
dc.date.created2015-02-10-
dc.date.issued2014-12-15-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/67993-
dc.publisherICISE 2014-
dc.relation.isPartOfThird International Conference on the Interface between Statistics and Engineering 2014-
dc.titleData Mining Techniques for Risk Prediction of Hypertension and Its Complicates-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationThird International Conference on the Interface between Statistics and Engineering 2014-
dc.citation.conferencePlaceCC-
dc.citation.titleThird International Conference on the Interface between Statistics and Engineering 2014-
dc.contributor.affiliatedAuthor김광재-
dc.contributor.affiliatedAuthor이원지-
dc.description.journalClass1-
dc.description.journalClass1-

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김광재KIM, KWANG JAE
Dept. of Industrial & Management Eng.
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