International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
3.9
CiteScore

IJIET 2012 Vol.2(3): 233-235
doi: 10.7763/IJIET.2012.V2.117

Identification of Research Patterns and Trends through Text Mining

Su Gon Cho , Seoung Bum Kim

Abstract

Identification of meaningful patterns and trends in large volumes of text data is an important task in various fields. 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 a low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of the keywords frequently appeared in the paper.

Keywords

  • Data mining
  • text mining
  • clustering
  • association rule
  • social network analysis
117-K0013

How to Cite

Copied

Su Gon Cho and Seoung Bum Kim, "Identification of Research Patterns and Trends through Text Mining," International Journal of Information and Education Technology, vol. 2, no. 3, pp. 233-235, 2012. https://doi.org/10.7763/IJIET.2012.V2.117

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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