| 基于优化Naive Bayes的垃圾邮件过滤 |
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| 引用本文： | 孔维华,刘继承,陈娟.基于优化Naive Bayes的垃圾邮件过滤[J].计算机安全,2009(1):18-20. |
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| 作者姓名： | 孔维华 刘继承 陈娟 |
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| 作者单位： | 河南工业大学,信息科学与工程学院,河南,郑州,450001 |
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| 摘 要： | 针对朴素贝叶斯算法在垃圾邮件上的“独立性假设”条件这一不足，可以利用神经模糊技术来修正朴素贝叶斯分类算法。通过摒除模糊系统和神经网络各自的缺点，结合各自的优点组成了神经模糊系统。对贝叶斯分类算法及Naive Bayes算法在垃圾邮件处理上的最新应用进行了介绍，在此基础上，展望了该算法进一步的研究工作。
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| 关 键 词： | 朴素贝叶斯算法 神经模糊分类 垃圾邮件 |
An Approach for Spam Email Filtering Based on Advanced Naive Bayes |
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| KONG Wei-hua,LIU Ji-cheng,CHEN Juan.An Approach for Spam Email Filtering Based on Advanced Naive Bayes[J].Network & Computer Security,2009(1):18-20. |
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| Authors: | KONG Wei-hua LIU Ji-cheng CHEN Juan |
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| Affiliation: | (College of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan 650001, China) |
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| Abstract: | Aiming at the independent assumptions in the Naive Bayes lgorithm, fuzzy system and neural network(Neuro-Fuzzy system)are introduced to improve Naive Bayes classification performance by getting rid of its disadvantags and combining its advantages separately. Naive Bayes lgorithm and improved Naive Bayes lgorithm are applied to spam filtering in this paper.Based on this,the further research of the lgorithm is outlooked. |
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| Keywords: | naive bayes neuro-fuzzy junk email |
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