| LDC-mine——基于局部偏差系数的孤立点挖掘算法 |
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| 引用本文： | 张长 邱保志. LDC-mine——基于局部偏差系数的孤立点挖掘算法[J]. 计算机应用, 2007, 27(1): 95-97 |
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| 作者姓名： | 张长 邱保志 |
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| 作者单位： | 郑州大学信息工程学院,河南郑州450052 |
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| 摘 要： | 孤立点检测一直是知识发现（KDD）中一个活跃的领域，如信用卡欺诈，入侵检测等。在这些应用领域中研究孤立点的异常行为能够发现隐藏在数据集中更有价值的知识。提出了一个新的度量LDC(局部偏差系数)因子和基于LDC的孤立点挖掘的算法LDC-mine。实验证明：该算法能够有效地检测出孤立点。
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| 关 键 词： | 孤立点检测 局部偏差系数 局部偏差率 |
| 文章编号： | 1001-9081（2007）01-0095-03 |
| 收稿时间： | 2006-07-06 |
| 修稿时间： | 2006-07-06 |
LDC-mine:algorithm for mining outlier based on local deviation coefficient |
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| ZHANG Chang,QIU Bao-zhi. LDC-mine:algorithm for mining outlier based on local deviation coefficient[J]. Journal of Computer Applications, 2007, 27(1): 95-97 |
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| Authors: | ZHANG Chang QIU Bao-zhi |
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| Affiliation: | School of Information Engineering, Zhengzhou University, Zhengzhou Henan 450052, China |
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| Abstract: | Outlier detection has always been a hot research field in Knowledge Discovery in Databases(KDD).Finding the rare abnormal behaviors or the outliers can be more interesting than finding the common patterns like credit card fraud,intrusion detection,etc.This paper provided a new Local deviation coefficient(LDC) factor and an algorithm for mining outlier based LDC-mine.The experiment shows that LDC-mine has higher efficiency of detecting outliers. |
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| Keywords: | outlier detection local deviation coefficient local deviation ratio |
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