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A Study on GVC Risk Factor Recognition Methodology based on Big Data and Text Mining Analysis

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dc.contributor.authorCHEONG, Tae Su-
dc.date.accessioned2022-12-03T08:40:28Z-
dc.date.available2022-12-03T08:40:28Z-
dc.date.created2022-12-03-
dc.date.issued2022-11-04-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/146374-
dc.publisher대한산업공학회-
dc.titleA Study on GVC Risk Factor Recognition Methodology based on Big Data and Text Mining Analysis-
dc.title.alternative빅데이터 기반 GVC 위험인지 방법론 연구-
dc.typeConference-
dc.contributor.affiliatedAuthorCHEONG, Tae Su-
dc.identifier.bibliographicCitation2022 대한산업공학회 추계공동학술대회-
dc.relation.isPartOf2022 대한산업공학회 추계공동학술대회-
dc.relation.isPartOf대한산업공학회 추계공동학술대회 논문집-
dc.citation.title2022 대한산업공학회 추계공동학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2022-11-04-
dc.type.rimsCONF-
dc.description.journalClass2-
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공과대학 (산업경영공학부)
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