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
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255095
