| 基于行为识别和SVM的短信过滤方法研究 |
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| 引用本文： | 赵英刚,龚垒.基于行为识别和SVM的短信过滤方法研究[J].微计算机信息,2012(1):176-177. |
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| 作者姓名： | 赵英刚 龚垒 |
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| 作者单位： | 河南理工大学计算机科学与技术学院 |
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| 摘 要： | 针对手机垃圾短息难以治理的现象,提出一种基于行为识别和SVM的短信过滤方法。综合行为识别和SVM的特点,从运营商短信业务支撑中心方面实施对垃圾短信的过滤,并对SVM方法进行了相关实验。实验表明,SVM方法在短信拦截过滤方面有着较好的效果。
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| 关 键 词： | 短信过滤 行为识别 文本分类 支持向量机 |
Research of Filtering Method for Short Message Based on Behavior recognition and SVM |
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| ZHAO Ying-gang GONG Lei.Research of Filtering Method for Short Message Based on Behavior recognition and SVM[J].Control & Automation,2012(1):176-177. |
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| Authors: | ZHAO Ying-gang GONG Lei |
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| Affiliation: | ZHAO Ying-gang GONG Lei(College of Computer Science and Technology,Henan Polyrechnic University,Henan Jiaozuo 454003,China) |
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| Abstract: | Short interest for the mobile phone spam is difficult to control the phenomenon,based on behavior recognition and text messages intercepted SVM method.Comprehensive behavioral characteristics to identify and SVM,support from the operator center the implementation of SMS text messages to the spam filter,and the SVM methods related experiments.Experiments show that,SVM method to intercept SMS has a better filtering effect. |
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| Keywords: | SMS Filter Behavior recognition Text Classification Support Vector Machine |
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