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Document Classification with Multi-layered Immune Principle

  • Chunlin Liang
  • Yindie Hong
  • Yuefeng Chen
  • Lingxi Peng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

Automatic document classification is helpful in both organizing and finding information on huge resources. A novel multi-layered immune based document classification algorithm is presented. First, we represent the definition of the immune cells, antibody, antigen, and discuss the architecture of multi-layered immune system. Second, we evolve the dynamic models of immune response, immune regulation and immune memory, and establish the corresponding equations. Finally, we implement the simulation experiments, and compare the results with those obtained using the best methods for this application. Experiments show that the algorithm has higher classification accuracy than other document classification methods, and the attractive features such as diversity, self-learning, adaptive and robust etc. It provides a novel solution for document classification.

Keywords

document classification immune artificial intelligence 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chunlin Liang
    • 1
  • Yindie Hong
    • 1
  • Yuefeng Chen
    • 1
  • Lingxi Peng
    • 2
  1. 1.Software SchoolGuangdong Ocean Univ.ZhanjiangChina
  2. 2.School of Computer ScienceGuangzhou UniversityGuangzhouChina

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