Centrality research on the Traditional Chinese Medicine network

被引：2
|
作者：
Zhang Dezheng [1 ]
Gao Lixin [1 ]
Zhang Huansheng [2 ]
Liu Jianming [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
[2] Hebei Engn & Tech Coll, Dept Comp, Cangzhou 061001, Peoples R China
来源：
FIRST INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS | 2007年
基金：
北京市自然科学基金;
关键词：
D O I：
10.1109/WKDD.2008.19
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Aiming at the complex data in the Traditional Chinese Medicine, a new way is proposed in this paper that data mining of complex relations to find out the potential information among different medicine objects. We turned the Traditional Chinese Medicine knowledge network into graph by using information from ontology, then adopted centrality algorithm to analyze and process this graph, and finally mined valuable medicine knowledge. As the result of the verification test, this algorithm shows very good practicability.
引用
收藏
页码：59 / +
页数：2
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