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Research of Chinese Multi-Pattern Fuzzy Matching Method for SMS Spam Monitoring

机译：SMS垃圾邮件监测的中国多模式模糊匹配方法研究

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摘要

In this paper, it is analyzed the content and achieving mechanism of WM algorithm on account of frequently asked questions during the monitoring and filtering of Short Message Service(SMS) spam, and brought forward a kind of Chinese message with multi- patterns fuzzy matching method to improve WM algorithm to apply to Chinese spam message filtering. The method firstly does pretreatment of key words and fuzzification of monitor for message on account of expressive diversity of Chinese message, and then realizes initial matching by improving WM algorithm. Because the preliminary result is not the final one, it needs further fuzzily match for the result. It does particular introduction of the method and the model of monitor and filtration for Chinese SMS spam in the paper. The method’s correctness and performing efficiency also has been done experimental analysis, test and comparison experiment with former system that had not been done pretreatment. Experimental results show the validity of the improving algorithms. The method is testing further during the practice.
机译：在本文中，在监控和过滤短消息服务（SMS）垃圾邮件期间常见问题的常见问题解释了WM算法的内容和实现机制，并提出了一种具有多模式模糊匹配方法的中文消息提高WM算法应用于中文垃圾邮件过滤。该方法首先是由于中国消息的表达多样性而言，监视器的关键词和模糊化的预处理，然后通过改进WM算法来实现初始匹配。因为初步结果不是最终的结果，所以它需要进一步模糊地匹配结果。它对中国短信垃圾邮件的监测和过滤模型进行了特殊介绍。该方法的正确性和性能效率也已经进行了实验分析，测试和比较实验，以前的系统没有进行预处理。实验结果表明了改进算法的有效性。该方法在实践期间进一步测试。

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