DocumentCode :
472423
Title :
Centrality Research on the Traditional Chinese Medicine Network
Author :
Dezheng, Zhang ; Lixin, Gao ; Huansheng, Zhang ; Jianming, Liu
Author_Institution :
Univ. of Sci. & Technol. Beijing, Beijing
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
59
Lastpage :
62
Abstract :
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.
Keywords :
data mining; graph theory; medical computing; network theory (graphs); ontologies (artificial intelligence); Chinese medicine knowledge network; data mining; graph theory; ontology; Algorithm design and analysis; Computer networks; Data engineering; Data mining; Educational institutions; Head; Knowledge engineering; Medical diagnostic imaging; Ontologies; Proteins;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.19
Filename :
4470349
Link To Document :
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