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텍스트 마이닝을 이용한 산업공학 연구기법의 분석An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining

Other Titles
An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining
Authors
조근호임시영허선
Issue Date
Feb-2014
Publisher
대한산업공학회
Keywords
Text Mining; Association rule; Clustering; Methodology; Industrial Engineering
Citation
대한산업공학회지, v.40, no.1, pp 52 - 59
Pages
8
Indexed
KCI
Journal Title
대한산업공학회지
Volume
40
Number
1
Start Page
52
End Page
59
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/25077
DOI
10.7232/JKIIE.2014.40.1.052
ISSN
1225-0988
2234-6457
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.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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Hur, Sun
ERICA 공학대학 (DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING)
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