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Optimization of Oriental Medicine Survey Using Data Mining Techiniques

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2011, 6(6), pp.15-22
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : December 31, 2011

김영태 1 Park Sangchan 1 Sang-Chul Lee 2 유승연 1 Park Young-Jae 1 Young-Bae Park 1 임광혁 3

1경희대학교
2그리스도대학교
3배재대학교

Candidate

ABSTRACT

The purpose of this study is to optimize the survey items for oriental medicine, appling data mining techniques used in the fields of engineering. If survey items can be minimized through systematic survey data analysis, customer attributes may be identified in advance to increase service efficiency and customer satisfaction in oriental medicine. In this study, cluster analysis was conducted to classify the groups into one with Pyungwi-san symptom and the other without the symptom. Subsequently, the rules were determined by clustering with higher scale response through decision tree analysis to construct the optimized survey for Pyungwi-san symptom.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.