基于用户需求垃圾邮件过滤分类模型设计 |
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引用本文: | 周兵,谭骏珊.基于用户需求垃圾邮件过滤分类模型设计[J].黑龙江电子技术,2013(12):90-94. |
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作者姓名: | 周兵 谭骏珊 |
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作者单位: | 中南林业科技大学计算机与信息工程学院,长沙410004 |
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摘 要: | 以朴素贝叶斯理论作为基石并结合信息增益、代价因子等方法,尝试设计一种基于用户需求的垃圾邮件过滤分类模型,在垃圾邮件一次分类基础上提出邮件先过滤后分类方法,进而改进传统邮件分类一次阈值比较,变为两次阈值比较,且应用反馈技术以应对垃圾邮件的日益变化.该模型可能会对垃圾邮件多分类研究具有一定的参考价值.
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关 键 词: | 朴素贝叶斯 信息增益 代价因子 用户需求 过滤分类 |
Design of spam filtering and classification model based on user needs |
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Authors: | ZHOU Bing TAN Jun-shan |
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Affiliation: | ( School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China) |
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Abstract: | The paper designs a spam filtering and classification model based on user needs combined with information gain and cost factor. At the same time, it puts forward a filtration & classification method, which replaces one threshold comparison with two threshold comparisons while the traditional spam system filter e-mail only once. Besides, a feedback technique is applied to update training set in response to the ever-changing spam. The model might also have some reference value to spam multi- classification study. |
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Keywords: | Naive Bayesian information gain cost factor user needs filtration & classification |
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