A Model of Immune Gene Expression Programming for Rule Mining

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@Article{Zeng:jucs_13_10:a_model_of_immune,
  author =       "Tao Zeng and Changjie Tang and Yong Xiang and 
                 Peng Chen and Yintian Liu",
  title =        "A Model of Immune Gene Expression Programming for Rule
                 Mining",
  journal =      "Journal of Universal Computer Science",
  year =         "2007",
  volume =       "13",
  number =       "10",
  pages =        "1484--1497",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, artifical immune system, data
                 mining, evolutionary algorithm, meta-rule, rule",
  URL =          "http://www.jucs.org/jucs_13_10/a_model_of_immune",
  DOI =          "doi:10.3217/jucs-013-10-1484",
  size =         "14 pages",
  abstract =     "Rule mining is an important issue in data mining. To
                 address it, a novel Immune Gene Expression Programming
                 (IGEP) model was proposed. Concepts of rule, gene,
                 immune cell, and antibody were formalized. The dynamic
                 evolution models and the corresponding recursive
                 equations of immune cell, self, immune-tolerance were
                 built. The novel key techniques of IGEP were presented.
                 Experiment results showed that the new method has good
                 stability, scalability and flexibility. It can discover
                 traditional association rule, non-traditional rule
                 including connective 'OR' or 'NOT', and meta-rule of
                 strong rule. Furthermore, it can perform well in
                 constrained pattern mining.",
}

Genetic Programming entries for Tao Zeng Changjie Tang Yong Xiang Peng Chen Jiangtao Qiu

Citations