The theory of correspondence of formula and syndrome roots in shanghanlun written by Zhangzhongjing. It emphasizes that the formula's creating and changing must be corresponded with the symptoms. In practice,to use the set prescription effectively,the key step is to distinguish the main symptoms,the secondary symptoms and the developed symptoms. Therefore,it is a short cut to use set prescriptions according to this theory. Because of its utility,study of this theory's essential has been one of the hot research fields in TCM (traditional Chinese medicine).With the deepening of the TCM's modernization study,it has been a trend to introduce some new subjects to TCM's research such as modern medicine,biology,electronic informatics,ect. In recent years,data mining has made a rapid development and been widely used to many research fields involving TCM.To discover a new study method of TCM's modernization,we adopted data mining to research the correspondence of formula and syndrome. Data mining (also known as Knowledge Discovery in Databases - KDD) has been defined as "The nontrivial extraction of implicit,previously unknown,and potentially useful information from data". According to the study task,we choose methods of hierarchical clustering,fuzzy clustering,frequent item set and correspondence analysis. In this article,what are discussed include the pretreatment of data,establishment of data mining methods,analysis and value of the results. |