Cluster-based outlier detection
文献类型：期刊论文
| 作者 | Duan, Lian1; Xu, Lida2,3; Liu, Ying4; Lee, Jun5 |
| 刊名 | Annals of operations research
 |
| 出版日期 | 2009-04-01 |
| 卷号 | 168期号:1页码:151-168 |
| 关键词 | Outlier detection Cluster-based outlier Ldbscan Local outlier factor |
| ISSN号 | 0254-5330 |
| DOI | 10.1007/s10479-008-0371-9 |
| 通讯作者 | Duan, lian(lian-duan@uiowa.edu) |
| 英文摘要 | Outlier detection has important applications in the field of data mining, such as fraud detection, customer behavior analysis, and intrusion detection. outlier detection is the process of detecting the data objects which are grossly different from or inconsistent with the remaining set of data. outliers are traditionally considered as single points; however, there is a key observation that many abnormal events have both temporal and spatial locality, which might form small clusters that also need to be deemed as outliers. in other words, not only a single point but also a small cluster can probably be an outlier. in this paper, we present a new definition for outliers: cluster-based outlier, which is meaningful and provides importance to the local data behavior, and how to detect outliers by the clustering algorithm ldbscan (duan et al. in inf. syst. 32(7):978-986, 2007) which is capable of finding clusters and assigning lof (breunig et al. in proceedings of the 2000 acm sig mod international conference on manegement of data, acm press, pp. 93-104, 2000) to single points. |
| WOS关键词 | FEATURE SPACE THEORY ; INCLUSION DEGREE |
| WOS研究方向 | Operations Research & Management Science |
| WOS类目 | Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000264317000009 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374121 |
| 专题 | 计算机网络信息中心 |
| 通讯作者 | Duan, Lian |
| 作者单位 | 1.Univ Iowa, Dept Management Sci, Iowa City, IA 52242 USA 2.Beijing Jiaotong Univ, Coll Econ & Management, Beijing 100044, Peoples R China 3.Old Dominion Univ, Dept Informat Technol & Decis Sci, Norfolk, VA 23529 USA 4.Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing, Peoples R China 5.Chinese Acad Sci, China Sci & Technol Network, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Duan, Lian,Xu, Lida,Liu, Ying,et al. Cluster-based outlier detection[J]. Annals of operations research,2009,168(1):151-168. |
| APA | Duan, Lian,Xu, Lida,Liu, Ying,&Lee, Jun.(2009).Cluster-based outlier detection.Annals of operations research,168(1),151-168. |
| MLA | Duan, Lian,et al."Cluster-based outlier detection".Annals of operations research 168.1(2009):151-168. |
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来源：计算机网络信息中心
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