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异常挖掘研究综述 被引量：2

Survey on Outlier Mining
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摘要 异常挖掘是数据挖掘的一个重要分支,已逐渐成为许多领域的有用工具。本文介绍了异常的基本含义以及异常挖掘的意义。对现有异常挖掘方法按照它们使用的主要技术进行了分类,对一些典型方法的基本思想进行了介绍,并指出了这些方法存在的局限。最后对异常数据挖掘的一些主要研究方向进行了展望。 Outlier mining is a important branch of data mining, and is becoming a growingly useful tool in many applications. This paper introduces the essential meaning of outlier and the importance of outlier mining. The authors classify existing approaches to outlier detection according to their appling primary technology,introduce the essential ideas of some typical approaches and point out their shortcoming. At the end of the paper ,the authors put forward some research direction about outlier mining in future work.
作者 蒋盛益 徐雨明 陈溪辉
机构地区 衡阳师范学院计算机系
出处 《衡阳师范学院学报》 2004年第3期63-66,共4页 Journal of Hengyang Normal University
关键词 异常 异常度量 异常挖掘 Outlier Outlier measure Outlier mining
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献20

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二级参考文献39

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共引文献51

同被引文献23

引证文献2

二级引证文献9

衡阳师范学院学报
2004年 第3期

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