文章基本信息

标题：DATA MINING: A LITERATURE REVIEW ON OUTLIERS DETECTION METHODS AND THEIR APPLICATIONS
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作者：L.SUNITHA ; M.BALRAJU ; J.SASIKIRAN 等
期刊名称：Indian Streams Research Journal
印刷版ISSN：2230-7850
出版年度：2013
卷号：III
期号：V
出版社：Indian Streams Research Journal
摘要：In this paper, we present a comprehensive survey on different outlier detection methods and their applications. We provide definitions of outliers and discuss their detection based on supervised and unsupervised learning . While clustering algorithms discard the outliers as noisy, but in general these outliers are having important applications like fraud detection, intrusion detection and health care monitoring system.
关键词：outlier detection;distance based approach;density based approach;deviation based approach