A hybrid approach to outlier detection based on boundary region

doi:10.1016/j.patrec.2011.07.002

	A hybrid approach to outlier detection based on boundary region
	Jiang, Feng 1; Sui, Yuefei 2; Cao, Cungen 2
	2011-10-15
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
卷号	32 期号:14 页码:1860-1870
摘要	In recent years, much attention has been given to the problem of outlier detection, whose aim is to detect outliers - objects who behave in an unexpected way or have abnormal properties. The identification of outliers is important for many applications such as intrusion detection, credit card fraud, criminal activities in electronic commerce, medical diagnosis and anti-terrorism, etc. In this paper, we propose a hybrid approach to outlier detection, which combines the opinions from boundary-based and distance-based methods for outlier detection (Jiang et al., 2005, 2009; Knorr and Ng, 1998). We give a novel definition of outliers - BD (boundary and distance)-based outliers, by virtue of the notion of boundary region in rough set theory and the definitions of distance-based outliers. An algorithm to find such outliers is also given. And the effectiveness of our method for outlier detection is demonstrated on two publicly available databases. (C) 2011 Elsevier B.V. All rights reserved.
关键词	Outlier detection Rough sets Boundary Distance KDD
DOI	10.1016/j.patrec.2011.07.002
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[60802042] ; National Natural Science Foundation of China[61035004] ; Natural Science Foundation of Shandong Province, China[ZR2010FQ027] ; Natural Science Foundation of Shandong Province, China[ZR2009GQ013] ; National High-Tech Research & Development Program of China[2007AA01Z325]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000296547400019
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：16[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/2XEOYT63/12906
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, Feng
作者单位	1.Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao 266061, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Feng,Sui, Yuefei,Cao, Cungen. A hybrid approach to outlier detection based on boundary region[J]. PATTERN RECOGNITION LETTERS,2011,32(14):1860-1870.
APA	Jiang, Feng,Sui, Yuefei,&Cao, Cungen.(2011).A hybrid approach to outlier detection based on boundary region.PATTERN RECOGNITION LETTERS,32(14),1860-1870.
MLA	Jiang, Feng,et al."A hybrid approach to outlier detection based on boundary region".PATTERN RECOGNITION LETTERS 32.14(2011):1860-1870.