| 基于在线线性判别学习模型的垃圾邮件过滤方法 |
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| 引用本文： | 李军,齐浩亮,韩中元,雷国华.基于在线线性判别学习模型的垃圾邮件过滤方法[J].哈尔滨理工大学学报,2008,13(3). |
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| 作者姓名： | 李军 齐浩亮 韩中元 雷国华 |
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| 作者单位： | 黑龙江工程学院,计算机科学与技术系,黑龙江,哈尔滨,150050 |
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| 摘 要： | 给出了一种使用在线线性判别学习模型进行垃圾邮件过滤的方法,使用贝叶斯理论进行特征提取,特征按出现的位置进行分类,不同类别的特征赋予不同的权重.在TREC测试集上进行了实验,并和TREC评测的结果进行了对比.实验结果表明,该方法取得了较好的结果.
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| 关 键 词： | 垃圾邮件过滤 判别学习模型 特征提取 贝叶斯理论 主动学习 |
A Method of Spam Filtering Based on Online Linear Discriminative Learning Model |
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| LI Jun,QI Hao-liang,HAN Zhong-yuan,LEI Gun-hua.A Method of Spam Filtering Based on Online Linear Discriminative Learning Model[J].Journal of Harbin University of Science and Technology,2008,13(3). |
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| Authors: | LI Jun QI Hao-liang HAN Zhong-yuan LEI Gun-hua |
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| Abstract: | Spam filtering is an important task in the application of internet.In this paper a method of spam filtering based on online linear discriminative Learning Model is presented.We statically derive the features using Bayesian rule,clustering them into groups according to their position and then assigning weights respectively.The model is evaluated by TREC Spam corpus and compared with the TREC results.Experimental results show that our linear discriminative model can produce competitive results. |
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| Keywords: | spam filtering discriminative learning model feature extraction bayesian theory active learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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