标题:Mining association rules in medical data based on concept lattice
作者:Wang, Wei ;Wu, Yaohua
通讯作者:Wang, W
作者机构:[Wang, Wei ;Wu, Yaohua ] School of Control Science and Engineering, Shandong University, Jinan, Shandong, China;[Wang, Wei ] School of Management, Sha 更多
会议名称:2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
会议日期:7 July 2010 through 9 July 2010
来源:Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
出版年:2010
页码:5171-5174
DOI:10.1109/WCICA.2010.5554908
关键词:Association rules; Concept lattice; Data mining
摘要:Concept lattice (Galois lattice) is an efficient tool for data analysis and rule extraction from multidimensional space. This paper introduces some definitions of concept lattice, and compares two methods of data inductive: AOI and concept lattice. After introduce the context, actual medical data is discretized and concept lattice and Hasse diagram are constructed to generate the concept hierarchy, and finally some strategies is used to extract interesting association rules. Experiment proves that concept lattice is an effective tools on mining association rules in medical database analysis. © 2010 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958130361&doi=10.1109%2fWCICA.2010.5554908&partnerID=40&md5=7515b2315e2bb103c54d9a4153a8ca7f
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