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Some issues about outlier detection in rough set theory

文献类型：期刊论文

作者Jiang, Feng1; Sui, Yuefei2; Cao, Cungen2
刊名EXPERT SYSTEMS WITH APPLICATIONS
出版日期2009-04-01
卷号36期号:3页码:4680-4687
关键词Outlier detection Rough sets Distance metric KDD
ISSN号0957-4174
DOI10.1016/j.eswa.2008.06.019
英文摘要"One person's noise is another person's signal" (Knorr, E., Ng, R. (1998). Algorithms for mining distance-based outliers in large datasets. In Proceedings of the 24th VLDB conference, New York (pp. 392-403)). In recent years, much attention has been given to the problem of outlier detection, whose aim is to detect outliers - objects which 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, etc. And outlier detection is critically important in the information-based society. In this paper, we discuss some issues about outlier detection in rough set theory which emerged about 20 years ago, and is nowadays a rapidly developing branch of artificial intelligence and soft computing. First, we propose a novel definition of outliers in information systems of rough set theory - sequence-based outliers. An algorithm to find such outliers in rough set theory is also given. The effectiveness of sequence-based method for outlier detection is demonstrated on two publicly available databases. Second, we introduce traditional distance-based outlier detection to rough set theory and discuss the definitions of distance metrics for distance-based outlier detection in rough set theory. (C) 2008 Elsevier Ltd. All rights reserved.
资助项目Natural Science Foundation[60641010] ; Natural Science Foundation[60496326] ; Natural Science Foundation[60573063] ; Natural Science Foundation[60573064] ; National 863 Programme[2007AAO1Z325] ; National 973 Programme[2003CB317008] ; National 973 Programme[G1999032701]
WOS研究方向Computer Science ; Engineering ; Operations Research & Management Science
语种英语
WOS记录号WOS:000263584100063
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.204/handle/2XEOYT63/11847]  
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. Some issues about outlier detection in rough set theory[J]. EXPERT SYSTEMS WITH APPLICATIONS,2009,36(3):4680-4687.
APA Jiang, Feng,Sui, Yuefei,&Cao, Cungen.(2009).Some issues about outlier detection in rough set theory.EXPERT SYSTEMS WITH APPLICATIONS,36(3),4680-4687.
MLA Jiang, Feng,et al."Some issues about outlier detection in rough set theory".EXPERT SYSTEMS WITH APPLICATIONS 36.3(2009):4680-4687.

入库方式： OAI收割

来源：计算技术研究所

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