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] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Shandong, Peoples R China.
会议名称:8th World Congress on Intelligent Control and Automation (WCICA)
会议日期:JUL 06-09, 2010
来源:2010 8TH 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:Concept lattice; association rules; 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.
收录类别:CPCI-S
资源类型:会议论文
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