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텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 조수곤 | - |
| dc.contributor.author | 김성범 | - |
| dc.date.accessioned | 2021-09-07T02:25:29Z | - |
| dc.date.available | 2021-09-07T02:25:29Z | - |
| dc.date.created | 2021-06-17 | - |
| dc.date.issued | 2012 | - |
| dc.identifier.issn | 1225-0988 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/110158 | - |
| dc.description.abstract | Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper. | - |
| dc.language | Korean | - |
| dc.language.iso | ko | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | 텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구 | - |
| dc.title.alternative | Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 김성범 | - |
| dc.identifier.bibliographicCitation | 대한산업공학회지, v.38, no.1, pp.67 - 73 | - |
| dc.relation.isPartOf | 대한산업공학회지 | - |
| dc.citation.title | 대한산업공학회지 | - |
| dc.citation.volume | 38 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 67 | - |
| dc.citation.endPage | 73 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART001638111 | - |
| dc.description.journalClass | 2 | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Data Mining | - |
| dc.subject.keywordAuthor | Text Mining | - |
| dc.subject.keywordAuthor | Clustering | - |
| dc.subject.keywordAuthor | Association Rule | - |
| dc.subject.keywordAuthor | Social Network Analysis | - |
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