| 离群点检测算法研究 |
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| 引用本文： | 张宁.离群点检测算法研究[J].桂林电子科技大学学报,2009,29(1). |
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| 作者姓名： | 张宁 |
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| 作者单位： | 燕山大学,信息科学与工程学院,河北,秦皇岛,066004 |
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| 摘 要： | 离群点检测是数据挖掘中一项重要内容,通过对当前有代表性的离群点检测算法的分析和比较,对各算法的优缺点进行了总结.针对高维数据中离群点检测算法进行了分析和研究,提出了高维数据中离群点检测需要注意的一些问题,从而便于研究者以这些算法为基础,在此基础上提出新的改进算法.
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| 关 键 词： | 离群点 高维数据 数据流 异常检测 |
Research of Outlier Detection Algorithm |
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| ZHANG Ning.Research of Outlier Detection Algorithm[J].Journal of Guilin Institute of Electronic Technology,2009,29(1). |
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| Authors: | ZHANG Ning |
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| Affiliation: | School of Information Science and Engineering;Yanshan University;Qinhuangdao 066004;China |
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| Abstract: | Outlier detection is an important content of data mining.This paper summarized their features by comparing and analyzing major outlier detection algorithms and gave some problems needing to be attended through analyzing and researching the outlier detection algorithms in high dimensional data.Based on these algorithms,the researchers can proceed a further analysis and propose improved algorithms. |
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| Keywords: | outlier high-dimension data data stream anomaly detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
