| SVM和K-NN协同工作的垃圾邮件过滤器 |
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| 引用本文： | 赵向军,路梅. SVM和K-NN协同工作的垃圾邮件过滤器[J]. 江南大学学报(自然科学版), 2007, 6(6): 846-849 |
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| 作者姓名： | 赵向军 路梅 |
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| 作者单位： | 徐州师范大学,计算机科学与技术学院,江苏,徐州,221116 |
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| 摘 要： | 提出了一种基于支持向量机的改进分类方法.该方法将特征空间分类超平面附近的样本分类,交由特征空间和样本空间中的K-近邻集体投票表决.该方法应用于垃圾邮件的过滤,邮件合法性误判发生的概率可被有效降低.最后通过垃圾邮件过滤实例对本文所述方法的有效性进行了验证.
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| 关 键 词： | 协同分类器 智能过滤 支持向量机 |
| 文章编号： | 1671-7147(2007)06-0846-04 |
| 修稿时间： | 2007-09-03 |
Anti-Spam Technique with SVM and K-NN Collaborative Method |
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| ZHAO Xiang-jun,LU Mei. Anti-Spam Technique with SVM and K-NN Collaborative Method[J]. Journal of Southern Yangtze University:Natural Science Edition, 2007, 6(6): 846-849 |
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| Authors: | ZHAO Xiang-jun LU Mei |
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| Abstract: | The paper presents an improved classific algorithm which combines the support vector machine with the K-Nearest Neighbor(K-NN).In this algorithm the classification of samples in the critical zone is decided by the voting of K-NN set in the feature space and the sample space.Using the method,the filtering error rate will obviously decrease.Lots of examples show that our method is feasible. |
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| Keywords: | collaborative classifier intelligent filtering support vector machine |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
