DocumentCode
3423438
Title
A text mining method for discovering hidden links
Author
Li, Guangrong ; Zhang, Xiaodan ; Yoo, Illhoi ; Zhou, Xiaohua
Author_Institution
Fac. of Accounting, Hunan Univ., Changsha, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
326
Lastpage
328
Abstract
This paper presents a Biomedical Semantic-based Association Rule method that significantly reduces irrelevant connections through semantic filtering. The experiment result shows that compared to traditional association rule-based approach, our approach generates much fewer rules and a lot of these rules represent relevant connections among biological concepts.
Keywords
data mining; information filtering; medical information systems; text analysis; biological concepts; biomedical semantic-based association rule method; semantic filtering; text mining method; Association rules; Cancer; Databases; Educational institutions; Information filtering; Information filters; Neoplasms; Ontologies; Text mining; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255095
Filename
5255095
Link To Document