Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining

텍스트 마이닝을 이용한 산업공학 연구기법의 분석

  • Cho, Geun Ho (Department of Industrial and Management Engineering, Hanyang University) ;
  • Lim, Si Yeong (Department of Industrial and Management Engineering, Hanyang University) ;
  • Hur, Sun (Department of Industrial and Management Engineering, Hanyang University)
  • 조근호 (한양대학교 산업경영공학과) ;
  • 임시영 (한양대학교 산업경영공학과) ;
  • 허선 (한양대학교 산업경영공학과)
  • Received : 2013.12.10
  • Accepted : 2014.02.04
  • Published : 2014.02.15
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Abstract

We survey 3,857 journal articles published on the four domestic academic journals in the industrial engineering field during 1975~2012. Titles, abstracts, and keywords of the papers are searched by means of text mining technique to draw the information on the methodologies and techniques adopted in the papers, and then we aggregate and merge similar ones to obtain final 38 representative methodologies and techniques. Trends of these methodologies and techniques are studied by analyzing frequencies, clustering, and finding association rules among them. Results of the paper can shed a light to choose tools in the future education and research in the industrial engineering related area.

Keywords

References

  1. Agrawal, R., Imielinski, T., and Swami, A. (1993), Mining Association Rules between Sets of Items in Large Databases, Proc. of the 1993 ACM SIGMOD Conference on Management of Data, 207-216.
  2. Ahn, G. S. and Hur S. (2013), Analysis of Biometric Technology Trend Using Key words Based Patent Analysis, Proc. Fall Conference of The Korea BI Datamining Society.
  3. Cho, S. G. and Kim, S. B. (2012), Finding Meaningful Pattern of Key Words in IIE Transactions Using Text Mining, Journal of The Korean Institute of Industrial Engineers, 38(1), 67-73. https://doi.org/10.7232/JKIIE.2012.38.1.067
  4. Choi, D. H., Kim, G. J., Park, S. S., and Jang, D. S. (2013), Forecasting Emerging Technology in AMOLED Using Keyword Quantitative Analysis Based on Textmining, Proc. Spring Conference on The Korea Contents Association, 365-366.
  5. Choi, J. S. (2013), Keyword-based Patent Trend Analysis Using Statistical Analysis : The Case of Armor Technology, The Journal of Intellectual Property, 8(1), 223-252.
  6. Jun, C. H. (2012), Datamining Techniques and Application, Han Na Rae Academy, Seoul, Korea.
  7. The Korean Institute of Industrial Engineers (1992), A Dictionary of Industrial Engineering, Cheongmoongak, Seoul, Korea
  8. Lee, H. R. (2010), A Study on Criteria for Determining the Number of Cluster in the K-means Method : Application to Cluster Analysis of Wind Regions in Korea Peninsula, Master's Thesis, Dongguk University.
  9. MacQueen, J. B. (1967), Some Methods for Classification an Analysis of Multivariate Observations, Proc. Fifth Berkeley Symp. on Math. Statist. and Prob., 1, 281-297.
  10. Park, J. H. (2011), Data Science and Industrial Engineering, IE magazine, 18(4), 22-24.
  11. Park, Y. B., Lim. S. C., Hong, S. J., Kim, J. H., Yoon, M. H. and Lee, D. J.(2006), Development of Creative Engineering Education System and Curriculum by Case Studies and Task Analysis : Focused on Industrial Engineering National Research Foundation of Korea, D00006.
  12. Song, H. J., Park, K. S., Jung, H. E., and Song, M. (2013), Trend Analysis of Korean Economy in the Economic Literature by Text Mining Techniques, Proc. the 20th Conference on The Korean Society for Information Management, 47-50.

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