Software Engineering White Papers
Intelligent Detection Approaches for Spam
Overview 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 A sliding window is employed for purge of out-of-date knowledge so far.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 their 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. They conduct many experiments on two public benchmark corpus called PU1 and Ling.
| Publisher | Peking University | File Format | |
|---|---|---|---|
| Date Published | October 2007 | ||
| Format | White Papers | ||
| Topics | |||
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