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
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