Outlier detection using rough set theory | |
Jiang, F; Sui, YF; Cao, CG | |
刊名 | ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, PT 2, PROCEEDINGS
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2005 | |
卷号 | 3642页码:79-87 |
ISSN号 | 0302-9743 |
英文摘要 | 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. |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | SPRINGER-VERLAG BERLIN |
WOS记录号 | WOS:000232190100009 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/10321] ![]() |
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. |
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