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ISCAS OpenIR  > 软件所图书馆  > 期刊论文
学科主题: Computer Science, Artificial Intelligence
题名:
learning quantifiable associations via principal sparse non-negative matrix factorization
作者: Hu Chenyong ; Zhang Benyu ; Wang Yongji ; Yan Shuicheng ; Chen Zheng ; Wang Qing ; Yang Qiang
关键词: data mining ; association rules ; non-negative matrix factorization ; principal sparse non-negative matrix factorization
刊名: INTELLIGENT DATA ANALYSIS
发表日期: 2005
卷: 9, 期:6, 页:603-620
收录类别: sci
部门归属: Chinese Acad Sci, Inst Software, Lab Internet Software Technol, Beijing 100080, Peoples R China. Microsoft Res Asia, Beijing 100080, Peoples R China. Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Hong Kong, Peoples R China. Hong Kong Univ Sci & Technol, Dept Comp Sci, Sha Tin, Hong Kong, Peoples R China. Chinese Acad Sci, Inst Software, Key Lab Comp Sci, Beijing, Peoples R China.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.iscas.ac.cn/handle/311060/12482
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Hu Chenyong,Zhang Benyu,Wang Yongji,et al. learning quantifiable associations via principal sparse non-negative matrix factorization[J]. INTELLIGENT DATA ANALYSIS,2005-01-01,9(6):603-620.
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