Traditional Chinese Medicine prescription mining based on attribute-oriented relevancy induction
Qihong Liu · Journal of Computer Applications · 2007
The traditional Attribute-Oriented Induction (AOI) technique is weak at efficiency and coarseness of generalization. In order to satisfy the complex requirements in Chinese medicine prescription mining, this study proposed a new algorithm based on attribute relevancy generalizing driven by Chinese medicine data, established concept-tree for relevancy-dimension, utilized pertinence of relevancy-attribute and benchmark-attribute to enhance efficiency of induction, and implemented a new data mining system TCMDBMiner based on attribute-oriented relevancy induction. Experimental results show that new algorithm is 23% faster than traditional method and the mining results are consistent with the Chinese medicine theory.