Ruilong Mao

Beijing Normal University, Peping, Beijing, China

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Publications (1)0 Total impact

  • Jinjian Qing · Ruilong Mao · Rongfang Bie · Xiao Zhi Gao
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    ABSTRACT: This paper proposes a new e-mail classification method based on the Artificial Immune System (AIS), which is endowed with good diversity and self-adaptive ability by using the immune learning, immune memory, and immune recognition. In our method, the features of spam and non-spam extracted from the training sets are combined together, and the number of false positives (non-spam messages that are incorrectly classified as spam) can be reduced. The experimental results demonstrate that this method is effective in reducing the false rate.
    No preview · Conference Paper · Sep 2009

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Institutions

  • 2009
    • Beijing Normal University
      • College of Information Science and Technology
      Peping, Beijing, China