| 粗糙集与决策树在电子邮件分类与过滤中的应用 |
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| 引用本文： | 邓春燕,陶多秀,吕跃进.粗糙集与决策树在电子邮件分类与过滤中的应用[J].计算机工程与应用,2009,45(16):138-140. |
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| 作者姓名： | 邓春燕 陶多秀 吕跃进 |
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| 作者单位： | 1.广西河池学院 计算机与信息科学系，广西 宜州 546300 2.广西大学 电气工程学院，南宁 530004 3.广西大学 数学与信息科学学院，南宁 530004 |
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| 基金项目： | 国家自然科学基金，广西研究生科研创新项目 |
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| 摘 要： | 垃圾邮件的识别与过滤是目前研究的热点问题之一。而粗糙集是一种新的处理模糊和不确定性知识的数据分析工具，已被成功地应用到许多有关分类的领域。将粗糙集与决策树结合，提出一个基于RS-DT的邮件分类方案与模型，并进行了实验及结果分析。通过与朴素贝叶斯模型及SVM的比较，表明提出的基于RS-DT的模型可以降低把正常邮件错分为垃圾邮件的比率，提高过滤系统的自学习能力。
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| 关 键 词： | 垃圾邮件 粗糙集 数据挖掘 决策树 |
| 收稿时间： | 2008-12-15 |
| 修稿时间： | 2009-2-25
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Application of rough set and decision tree in e-mail classification and filtering |
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| DENG Chun-yan,TAO Duo-xiu,LV Yue-jin.Application of rough set and decision tree in e-mail classification and filtering[J].Computer Engineering and Applications,2009,45(16):138-140. |
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| Authors: | DENG Chun-yan TAO Duo-xiu LV Yue-jin |
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| Affiliation: | 1．Department of Computer and Information Science，Hechi University，Yizhou，Guangxi 546300，China 2.College of Electrical Engineering，Guangxi University，Nanning 530004，China 3.College of Mathematics and Information Science，Guangxi University，Nanning 530004，China |
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| Abstract: | Spam identification and filtering is one of the hot issues.And the rough set is a new data analysis tool to deal with ambiguity and uncertainty of knowledge;it has been successfully applied to many areas of classification.Combining rough sets with decision tree,a spam filtering solution based on rough sets and decision tree(RS-DT) was proposed.The feasibility of the solution was indicated by the experiments on the public email corpus.Comparison experiments were also made between SVM classifier,Bayes classif... |
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| Keywords: | spam rough set data mining decision tree |
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