| 改进KNN算法在垃圾邮件过滤中的应用* |
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| 引用本文： | 张俊丽,张帆.改进KNN算法在垃圾邮件过滤中的应用*[J].现代图书情报技术,2007,2(4):75-78. |
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| 作者姓名： | 张俊丽 张帆 |
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| 作者单位： | 华中师范大学信息管理系,武汉,430079 |
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| 摘 要： | 提出一种改进的KNN算法，并将其用于垃圾邮件的过滤问题。经实验证明，改进的算法能够降低K值和训练文本的分布对过滤效果的影响，减少垃圾邮件的误判和漏判，具有较好的过滤性能。
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| 关 键 词： | 垃圾邮件过滤 文本分类 |
| 收稿时间： | 2007-03-05 |
| 修稿时间： | 2007-03-05 |
Application of Improved KNN Algorithm in Spam E-mail Filtering |
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| Zhang Junli,Zhang Fan.Application of Improved KNN Algorithm in Spam E-mail Filtering[J].New Technology of Library and Information Service,2007,2(4):75-78. |
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| Authors: | Zhang Junli Zhang Fan |
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| Institution: | Department of Information Management, Huazhong Normal University, Wuhan 430079, China |
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| Abstract: | In this paper, an improved K-Nearest Neighbor (KNN) is proposed and is applied to filter spam email. It’s proved that the improved algorithm is less sensitive to the parameter K and the distribution of the training set, helps reducing the misclassification, and performances well in experiments. |
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| Keywords: | KNN |
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