An information entropy-based approach to outlier detection in rough sets

doi:10.1016/j.eswa.2010.02.087

	An information entropy-based approach to outlier detection in rough sets
	Jiang, Feng 1; Sui, Yuefei 2; Cao, Cungen 2
	2010-09-01
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	37 期号:9 页码:6338-6344
摘要	The information entropy in information theory, developed by Shannon, gives an effective measure of uncertainty for a given system. And it also seems a competing mechanism for the measurement of uncertainty in rough sets. Many researchers have applied the information entropy to rough sets, and proposed different information entropy models in rough sets. Especially, Duntsch et al. presented a well-justified information entropy model for the measurement of uncertainty in rough sets. In this paper, we shall demonstrate the application of this model for the study of a specific data mining problem - outlier detection. By virtue of Duntsch's information entropy model, we propose a novel definition of outliers - IE (information entropy)-based outliers in rough sets. An algorithm to find such outliers is also given. And the effectiveness of IE-based method for outlier detection is demonstrated on two publicly available data sets. (C) 2010 Elsevier Ltd. All rights reserved.
关键词	Information entropy Outlier detection Rough sets Data mining
DOI	10.1016/j.eswa.2010.02.087
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation[60802042] ; Natural Science Foundation[60573063] ; Natural Science Foundation[60573064] ; National 863 Program[2007AA01Z325]
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000278424600026
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：52[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/2XEOYT63/12418
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. An information entropy-based approach to outlier detection in rough sets[J]. EXPERT SYSTEMS WITH APPLICATIONS,2010,37(9):6338-6344.
APA	Jiang, Feng,Sui, Yuefei,&Cao, Cungen.(2010).An information entropy-based approach to outlier detection in rough sets.EXPERT SYSTEMS WITH APPLICATIONS,37(9),6338-6344.
MLA	Jiang, Feng,et al."An information entropy-based approach to outlier detection in rough sets".EXPERT SYSTEMS WITH APPLICATIONS 37.9(2010):6338-6344.