Data mining method of association rule for bi-cluster - 文章详情页

作者：

Qin, Ru-Xin (Qin, Ru-Xin.) | Tian, Ying-Jie (Tian, Ying-Jie.) | Chen, Jing (Chen, Jing.) | Deng, Nai-Yang (Deng, Nai-Yang.) | Zhang, Hai-Bin (Zhang, Hai-Bin.) (学者：张海斌)

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摘要：

In　order　to　make　all　the　association　rule　algorithms　be　used　for　bi-clustering,　the　bi-cluster　problem　has　been　translated　into　the　problem　of　finding　frequent　sets　in　the　association　rule.　With　the　advent　of　many　algorithms　for　bi-clustering,　the　author＇s　technique　not　only　can　obtain　the　bi-clusters,　but　also　can　get　extra　information　associated　with　the　bi-cluster.　Experimental　results　on　gene　expression　data　show　the　effectiveness　of　the　strategy.

关键词：

Association rules Clustering algorithms Data mining Gene expression

作者机构：

[ 1 ] [Qin, Ru-Xin]College of Science, China Agricultural University, Beijing 100083, China
[ 2 ] [Tian, Ying-Jie]Research Center on Fictitious Economy, Chinese Academy of Sciences, Beijing 100080, China
[ 3 ] [Chen, Jing]College of Science, China Agricultural University, Beijing 100083, China
[ 4 ] [Deng, Nai-Yang]College of Science, China Agricultural University, Beijing 100083, China
[ 5 ] [Zhang, Hai-Bin]College of Applied Sciences, Beijing University of Technology, Beijing 100124, China

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