| 粗糙贝叶斯改进算法在垃圾邮件分类中的应用 |
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| 引用本文： | 莫秉戈.粗糙贝叶斯改进算法在垃圾邮件分类中的应用[J].现代计算机,2008(10). |
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| 作者姓名： | 莫秉戈 |
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| 作者单位： | 广东海洋大学信息学院通信工程系,湛江524088 |
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| 摘 要： | 分析当前使用最广泛的粗糙贝叶斯算法,指出其在实际应用中的不足,并采用2-gram理论对该算法进行了改进.经过实验证明,改进后的粗糙贝叶斯算法,邮件分类效果明显改善,垃圾邮件误判率、合法邮件误判率和平均误判率都有大幅度下降.
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| 关 键 词： | 垃圾邮件过滤 粗糙贝叶新算法 邮件分类 |
Applictaion of Naive Bayes Improved Algorithm in Spam Classifications |
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| MO Bing-ge.Applictaion of Naive Bayes Improved Algorithm in Spam Classifications[J].Modem Computer,2008(10). |
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| Authors: | MO Bing-ge |
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| Affiliation: | MO Bing-ge(Communication Department,Guangdong Ocean University Information Institute,Zhanjian 524088) |
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| Abstract: | Analyses the extensively used Naive Bayes algorithm and points out the defects,uses the 2-gram theory to improve the algorithm.Experiments show that the improved Naive Bayes can make the spam misclassification rate and ham misclassification rate reduce a lot. |
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| Keywords: | Spam Filtering Naive Bayes Arithmetic Mail Categorization |
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