Outlier detection using rough set theory

	Outlier detection using rough set theory
	Jiang, F ; Sui, YF ; Cao, CG
	2005
发表期刊	ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS
ISSN	0302-9743
卷号	3642 页码:79-87
摘要	In this paper, we suggest to exploit the framework of rough set for detecting outliers - individuals who behave in an unexpected way or feature abnormal properties. The ability to locate outliers can help to maintain knowledge base integrity and to single out irregular individuals. First, we formally define the notions of exceptional set and minimal exceptional set. We then analyze some special cases of exceptional set and minimal exceptional set. Finally, we introduce a new definition for outliers as well as the definition of exceptional degree. Through calculating the exceptional degree for each object in minimal exceptional sets, we can find out all outliers in a given dataset.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000232190100009
出版者	SPRINGER-VERLAG BERLIN
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10322
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jiang, F
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式 GB/T 7714	Jiang, F,Sui, YF,Cao, CG. Outlier detection using rough set theory[J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS,2005,3642:79-87.
APA	Jiang, F,Sui, YF,&Cao, CG.(2005).Outlier detection using rough set theory.ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS,3642,79-87.
MLA	Jiang, F,et al."Outlier detection using rough set theory".ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS 3642(2005):79-87.