基于神经网络的垃圾邮件过滤 |
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引用本文: | 王倩倩,段震.基于神经网络的垃圾邮件过滤[J].合肥联合大学学报,2006,16(1):55-57. |
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作者姓名: | 王倩倩 段震 |
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作者单位: | 安徽大学计算智能与信号处理重点实验室,合肥230039 |
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摘 要: | 垃圾邮件的过滤是一个具有重要现实意义的课题.将交叉覆盖学习算法和向量空间模型等技术相结合可得到一种新的垃圾邮件过滤方法.实验结果表明该方法识别率较高,具有较强的实用价值.
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关 键 词: | 交叉覆盖算法 垃圾邮件 邮件过滤 向量空间模型 |
文章编号: | 1673-162X(2006)01-0055-03 |
收稿时间: | 2005-11-29 |
E-Mail Filtering Base on Neural Network |
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Authors: | WANG Qian-qian DUAN Zhen |
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Abstract: | Anti-spam problem is a significant and practical topic now. This article presents a new method on how to filter the spam based on alternative covering algorithm and vector space model technology. The result of the experiments proves that this method has a high recognition rate and a practical usage. |
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Keywords: | alternative covering algorithm spam E-Mail filtering vector space mode |
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