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 Yintian Liu

Citations