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A rough set approach to outlier detection

文献类型:期刊论文

作者Jiang, Feng1,2; Sui, Yuefei1; Cao, Cungen1
刊名International journal of general systems
出版日期2008
卷号37期号:5页码:519-536
关键词Outlier detection Rough sets Rough membership function Kdd
ISSN号0308-1079
DOI10.1080/03081070701251182
通讯作者Jiang, feng(jiangkong@163.net)
英文摘要One person's noise is another person's signal (knorr and ng 1998). in recent years, much attention has been given to the problem of outlier detection, whose aim is to detect outliersobjects who behave in an unexpected way or have abnormal properties. detecting such outliers is important for many applications such as criminal activities in electronic commerce, computer intrusion attacks, terrorist threats, agricultural pest infestations. in this paper, we suggest to exploit the framework of rough sets for detecting outliers. we propose a novel definition of outliersrmf (rough membership function)-based outliers, by virtue of the notion of rough membership function in rough set theory. an algorithm to find such outliers is also given. and the effectiveness of rmf-based method is demonstrated on two publicly available data sets.
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Theory & Methods ; Ergonomics
语种英语
WOS记录号WOS:000258687800002
出版者TAYLOR & FRANCIS LTD
URI标识http://www.irgrid.ac.cn/handle/1471x/2390883
专题中国科学院大学
通讯作者Jiang, Feng
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Feng,Sui, Yuefei,Cao, Cungen. A rough set approach to outlier detection[J]. International journal of general systems,2008,37(5):519-536.
APA Jiang, Feng,Sui, Yuefei,&Cao, Cungen.(2008).A rough set approach to outlier detection.International journal of general systems,37(5),519-536.
MLA Jiang, Feng,et al."A rough set approach to outlier detection".International journal of general systems 37.5(2008):519-536.

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来源:中国科学院大学

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