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	Intelligent detection approaches for spam
	Ruan, Guangchen ; Tan, Ying
	2007
英文摘要	This paper proposes intelligent detection approaches based on Incremental Support Vector Machine and Artificial Immune System for the spam of e-mail stream. In the approaches, a window is used to hold several classifiers each of which classifies the e-mail independently and the label of the e-mail is given by a strategy of majority voting Exceeding margin update technique is also used for the dynamical update of each classifier in the window. A sliding window is employed for purge of out-of-date knowledge so far Techniques above endow our algorithm with dynamical and adaptive properties as well as the ability to trace the changing of the content of e-mails and user's interests in a continuous way. We conduct many experiments on two public benchmark corpus called PU1 and Ling. Experimental results demonstrate that the proposed intelligent detection approaches for spam give a promising performance.; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Robotics; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/293327]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Ruan, Guangchen,Tan, Ying. Intelligent detection approaches for spam. 2007-01-01.

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