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텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining
- Other Titles
- Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining
- Issue Date
- 2012
- Publisher
- 대한산업공학회
- Keywords
- Data Mining; Text Mining; Clustering; Association Rule; Social Network Analysis
- Citation
- 대한산업공학회지, v.38, no.1, pp.67 - 73
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 38
- Number
- 1
- Start Page
- 67
- End Page
- 73
- ISSN
- 1225-0988
- 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.
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