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@article{ART001096061},
author={SuYeon Kim and Young-Mee Chung},
title={An Experimental Study on Selecting Association Terms Using Text Mining Techniques},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2006},
volume={23},
number={3},
pages={147-166},
doi={10.3743/KOSIM.2006.23.3.147}

TY - JOUR
AU - SuYeon Kim
AU - Young-Mee Chung
TI - An Experimental Study on Selecting Association Terms Using Text Mining Techniques
JO - Journal of the Korean Society for Information Management
PY - 2006
VL - 23
IS - 3
PB - 한국정보관리학회
SP - 147
EP - 166
SN - 1013-0799
AB - In this study, experiments for selection of association terms were conducted in order to discover the optimum method in selecting additional terms that are related to an initial query term. Association term sets were generated by using support, confidence, and lift measures of the Apriori algorithm, and also by using the similarity measures such as GSS, Jaccard coefficient, cosine coefficient, and Sokal & Sneath 5, and mutual information. In performance evaluation of term selection methods, precision of association terms as well as the overlap ratio of association terms and relevant documents' indexing terms were used. It was found that Apriori algorithm and GSS achieved the highest level of performances.
KW - text mining;association terms;similarity measures;Apriori algorithm;term clustering;
DO - 10.3743/KOSIM.2006.23.3.147
ER -

SuYeon Kim and Young-Mee Chung. (2006). An Experimental Study on Selecting Association Terms Using Text Mining Techniques. Journal of the Korean Society for Information Management, 23(3), 147-166.

SuYeon Kim and Young-Mee Chung. 2006, "An Experimental Study on Selecting Association Terms Using Text Mining Techniques", Journal of the Korean Society for Information Management, vol.23, no.3 pp.147-166. Available from: doi:10.3743/KOSIM.2006.23.3.147

SuYeon Kim, Young-Mee Chung "An Experimental Study on Selecting Association Terms Using Text Mining Techniques" Journal of the Korean Society for Information Management 23.3 pp.147-166 (2006) : 147.

SuYeon Kim, Young-Mee Chung. An Experimental Study on Selecting Association Terms Using Text Mining Techniques. 2006; 23(3), 147-166. Available from: doi:10.3743/KOSIM.2006.23.3.147

SuYeon Kim and Young-Mee Chung. "An Experimental Study on Selecting Association Terms Using Text Mining Techniques" Journal of the Korean Society for Information Management 23, no.3 (2006) : 147-166.doi: 10.3743/KOSIM.2006.23.3.147

SuYeon Kim; Young-Mee Chung. An Experimental Study on Selecting Association Terms Using Text Mining Techniques. Journal of the Korean Society for Information Management, 23(3), 147-166. doi: 10.3743/KOSIM.2006.23.3.147

SuYeon Kim; Young-Mee Chung. An Experimental Study on Selecting Association Terms Using Text Mining Techniques. Journal of the Korean Society for Information Management. 2006; 23(3) 147-166. doi: 10.3743/KOSIM.2006.23.3.147

SuYeon Kim, Young-Mee Chung. An Experimental Study on Selecting Association Terms Using Text Mining Techniques. 2006; 23(3), 147-166. Available from: doi:10.3743/KOSIM.2006.23.3.147

SuYeon Kim and Young-Mee Chung. "An Experimental Study on Selecting Association Terms Using Text Mining Techniques" Journal of the Korean Society for Information Management 23, no.3 (2006) : 147-166.doi: 10.3743/KOSIM.2006.23.3.147