Title :
A method to discover compatibility regulation of Chinese herbs based on the combination of clustering analysis and herbs nature
Author :
Gong, Jun ; Dong, Junlong ; Tang, Jiafu ; Zhang, Lin ; Liang, Maoxin
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The purpose of this paper is to find a data mining method to clustering herbs. The results of data mining are to confirm the relation among herbs in a Chinese medicine prescription. Firstly, the similarity between herbs is measured by the attributes of herbs without the direction based on the prior knowledge. Secondly, the herbs are classified by K-Means algorithm. Lastly, the relations are confirmed by the combination of the classification and the Chinese medicine theory. The experiment illustrates that the method is effective, practical and generalized.
Keywords :
data mining; medicine; pattern clustering; Chinese herbs; Chinese medicine prescription; Chinese medicine theory; clustering analysis; compatibility regulation; data mining method; herbs nature; k-means algorithm; Databases; cluster analysis; compatibility of Chinese medicine prescription; data mining; monarch minister assistant and guide;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658557
