文章基本信息

标题：Prevention of Security Concerns during Outlier Detection
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作者：Y.A.Siva Prasad ; S.Achyuth ; R.Saroja 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：1-2
出版社：Seventh Sense Research Group
摘要：Data objects which do not comply with the general behavior or model of the data are called Outliers. Outlier Detection in databases has numerous applications such as fraud detection, customized marketing, and the search for terrorism. However, the use of Outlier Detection for various purposes is not an easy task. In this paper, we propose a technique for detecting outliers in an easier manner using clustering. We analyze our technique to clearly distinguish the normal data from outliers.
关键词：DataMining;OutlierDetection;Clustering;Outlier;Clust erdisplacement; Cluster rotation