| 离群点挖掘研究 |
| |
| 引用本文： | 徐翔,刘建伟,罗雄麟.离群点挖掘研究[J].计算机应用研究,2009,26(1):34-40. |
| |
| 作者姓名： | 徐翔 刘建伟 罗雄麟 |
| |
| 作者单位： | 中国石油大学,自动化研究所,北京,102249 |
| |
| 摘 要： | 随着人们对欺诈检测、网络入侵、故障诊断等问题的关注，离群点挖掘研究日益受到重视。在充分调研国内外离群点挖掘研究成果的基础上，介绍了数据库领域离群点挖掘的研究进展，并概要地总结和比较了已有的各种离群点挖掘方法，展望了离群点挖掘研究的未来发展方向和面临的挑战。
|
| 关 键 词： | 离群点 数据挖掘 局部离群点 高维数据 数据流 |
Research on outlier mining |
| |
| XU Xiang,LIU Jian-wei,LUO Xiong-lin.Research on outlier mining[J].Application Research of Computers,2009,26(1):34-40. |
| |
| Authors: | XU Xiang LIU Jian-wei LUO Xiong-lin |
| |
| Affiliation: | (Research Institute of Automation, China University of Petroleum, Beijing 102249, China) |
| |
| Abstract: | The problem of outlier mining attracts more and more interests in research when the research fields of fraud detection, intrusion detection, fault diagnosis and so on receive wide attentions. This paper presented a survey for the research results of outlier mining at home and abroad, and based on this survey, introduced the research process of outlier mining in the areas of database. It also presented a summary of the current state of the art of these techniques, a discussion on future research topics, and the challenges of the outlier mining. |
| |
| Keywords: | outlier data mining local outlier high-dimensional data data stream |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用研究》浏览原始摘要信息 |
|
点击此处可从《计算机应用研究》下载全文 |
|
