Mining association rule in traditional Chinese medicine chemical database
A. Lu · Jisuanji yu yingyong huaxue · 2005
Data mining is a new technology in information processing, and we apply association rule to processing traditional Chinese medicine (TCM) chemical data. A series of strong rules have been found by mining inter-dimensional association rules in database including fields of TCM effects, family of plant, activity of chemical component and modern pharmacody of TCM extracts. After analysis of these rules, the interesting rules are gained. The result of association rules also demonstrates the difference between TCM and western medicine description. This paper provides a new idea for related research filed such as modernization of TCM and plant chemistry.