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범죄발생과 범죄두려움 불일치지역의 도시환경 특성 분석: LightGBM과 SHAP 기계학습 방법론 중심으로

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dc.contributor.author장연주-
dc.contributor.author김선재-
dc.contributor.author이수기-
dc.date.accessioned2023-08-01T06:45:04Z-
dc.date.available2023-08-01T06:45:04Z-
dc.date.created2023-07-21-
dc.date.issued2022-04-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/188471-
dc.language한국어-
dc.language.isoko-
dc.publisher한국도시설계학회-
dc.title범죄발생과 범죄두려움 불일치지역의 도시환경 특성 분석: LightGBM과 SHAP 기계학습 방법론 중심으로-
dc.title.alternativeAnalysis of Urban Environment Characteristics of Crime Occurrence and Crime Fear Mismatch Areas: Focused on the LightGBM and SHAP Machine Learning Model-
dc.typeArticle-
dc.contributor.affiliatedAuthor이수기-
dc.identifier.bibliographicCitation한국도시설계학회 춘계학술대회 논문집, pp.183 - 198-
dc.relation.isPartOf한국도시설계학회 춘계학술대회 논문집-
dc.citation.title한국도시설계학회 춘계학술대회 논문집-
dc.citation.startPage183-
dc.citation.endPage198-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.identifier.urlhttps://www.auric.or.kr/User/Rdoc/DocRdoc.aspx?returnVal=RD_R&dn=413026-
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서울 공과대학 > 서울 도시공학과 > 1. Journal Articles

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