On Spam Detection Based on Cognitive Pattern Recognition

Tiancai Liang, Y. Pi
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引用次数: 4

Abstract

A spam detection method, based on cognitive pattern recognition, had been proposed. The connection between Email category and cognition of Email user interest within life and work, had been analyzed. Under the guidance of cognitive pattern recognition theory, the mechanism of spam detection, based on intelligent cognition of Email user interest within life and work, had been discussed. Then the spam detection algorithm and its concrete implementation was given. Experimental results demonstrate that the spam detection algorithm has a good learning ability, scalability, and a good ability to achieve high recognition accuracy.
基于认知模式识别的垃圾邮件检测研究
提出了一种基于认知模式识别的垃圾邮件检测方法。分析了电子邮件类别与电子邮件用户在生活和工作中的兴趣认知之间的联系。在认知模式识别理论的指导下,探讨了基于对Email用户生活和工作兴趣的智能认知的垃圾邮件检测机制。然后给出了垃圾邮件检测算法及其具体实现。实验结果表明,该垃圾邮件检测算法具有良好的学习能力、可扩展性,并且能够实现较高的识别准确率。
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