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효과적인 산업재해 분석을 위한 텍스트마이닝 기반의 사고 분류 모형과 온톨로지 개발
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 안길승 | - |
| dc.contributor.author | 서민지 | - |
| dc.contributor.author | 허선 | - |
| dc.date.accessioned | 2021-06-22T14:45:07Z | - |
| dc.date.available | 2021-06-22T14:45:07Z | - |
| dc.date.created | 2021-01-22 | - |
| dc.date.issued | 2017-10 | - |
| dc.identifier.issn | 1738-3803 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/10697 | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국안전학회 | - |
| dc.title | 효과적인 산업재해 분석을 위한 텍스트마이닝 기반의 사고 분류 모형과 온톨로지 개발 | - |
| dc.title.alternative | Development of Accident Classification Model and Ontology for Effective Industrial Accident Analysis based on Textmining | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 허선 | - |
| dc.identifier.bibliographicCitation | 한국안전학회지, v.32, no.5, pp.179 - 185 | - |
| dc.relation.isPartOf | 한국안전학회지 | - |
| dc.citation.title | 한국안전학회지 | - |
| dc.citation.volume | 32 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 179 | - |
| dc.citation.endPage | 185 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART002281726 | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | industrial accident analysis | - |
| dc.subject.keywordAuthor | text classification | - |
| dc.subject.keywordAuthor | ontology | - |
| dc.subject.keywordAuthor | support vector machine | - |
| dc.subject.keywordAuthor | mutual information | - |
| dc.identifier.url | https://kiss.kstudy.com/thesis/thesis-view.asp?key=3570361 | - |
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