Knowledge discovery in Chinese medicine

Authors:
Tongyuan Wang;Bipin C. Desai;Huzhan Zheng;Yanjiang Qiao
Affiliations:
Concordia University, Montreal, Canada;Concordia University, Montreal, Canada;Beijing University of Chinese Medicine, Beijing, China;Beijing University of Chinese Medicine, Beijing, China
Venue:
Proceedings of the 2008 C3S2E conference
Year:
2008

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Abstract

Our motivation for knowledge discovery in Chinese medicine is two folds: innovate and verify effective data mining technology in realistic applications; and update Chinese medical informatics. This paper focuses on the former aspect. To develop effective mining functions for Chinese medicine study, we have considered a number of critical issues including: data complications, mining model reliability, and mining tools' usability. The result is a fuzzy based "Hyper Knowledge Discovery System" (HKDS). This paper presents our recently proposed concepts and approaches as well as their flexibility and interactivity in information retrieval and association rule mining embodied in HKDS.