Integration of data mining and complex networks and its application in traditional Chinese medicine / 中草药

ABSTRACT

The traditional Chinese medicine (TCM) as a treasure of the Chinese history, has deposited lots of precious experience and valuable data. As an effective mean of data processing and knowledge discovery, data mining and complex networks are used to describe the data from the statistics and complexity, and are widely used in the research of modern TCM. Data mining bias to explore the surface of the statistical law, lack for an in-depth discussion of the inner mechanism of the system; While the complex network mainly describes the system structure through the perspective of network and good at exploring the universal law in the functional complexity, but there are limitations in the large data processing. To analyze on the applications and problems of data mining and complex networks in the field of TCM, give two methods and frame of paradigms integration, construct Chinese medicine property development network in case of cerebral vascular disease, and excavate the regularity of compatibility of TCM combined with pharmaceutical association and improved COPRA algorithm. The experimental results show that the method can effectively explore the association rules of the infrequent itemsets, and provide the basis for the compatibility of Chinese herbal medicine.