Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining

텍스트마이닝을 활용한 산업공학 학술지의 논문 주제어간 연관관계 연구

  • Cho, Su-Gon (School of Industrial Management Engineering, Korea University) ;
  • Kim, Seoung-Bum (School of Industrial Management Engineering, Korea University)
  • 조수곤 (고려대학교 산업경영공학과) ;
  • 김성범 (고려대학교 산업경영공학과)
  • Received : 2011.10.26
  • Accepted : 2012.02.15
  • Published : 2012.03.01
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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.

Keywords

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