doi: 10.7763/IJIET.2012.V2.117
Identification of Research Patterns and Trends through Text Mining
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
How to Cite
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).