中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A hybrid approach to outlier detection based on boundary region

文献类型:期刊论文

作者Jiang, Feng1; Sui, Yuefei2; Cao, Cungen2
刊名PATTERN RECOGNITION LETTERS
出版日期2011-10-15
卷号32期号:14页码:1860-1870
关键词Outlier detection Rough sets Boundary Distance KDD
ISSN号0167-8655
DOI10.1016/j.patrec.2011.07.002
英文摘要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.
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
语种英语
WOS记录号WOS:000296547400019
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/12905]  
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.

入库方式: OAI收割

来源:计算技术研究所

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