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一种基于免疫遗传算法的数据挖掘方法 被引量：1

Application of Genetic Programming on Data Mining
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摘要 提出了一种基于免疫遗传算法的数据挖掘算法,该算法在简单的遗传算法基础上引入免疫算子解决了遗传算法中的早熟现象。这种算法具有很好的鲁棒性和隐含并行性,能快速、有效的进行全局优化搜索。特别适用于大规模、海量数据库的挖掘。 A method of data mining is proposed based on immune genetic algorithm. Based on the simple genetic algorithm,This method intruded immunity operator to solve the problem of premature convergence of genetic algorithm. This method can be more quickly and efficiently searched in the whole global, and extremely used for the mining association rules to large-scale data base.
作者 颜富强 吴昊
机构地区 湖南大学计算机与通信学院
出处 《科学技术与工程》 2008年第14期3966-3969,3978,共5页 Science Technology and Engineering
关键词 免疫遗传算法 数据挖掘 早熟 客户关系管 immune genetic algorithm data mining premature convergence customer relationship management
分类号 TP311.12 [自动化与计算机技术—计算机软件与理论]
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参考文献10

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科学技术与工程
2008年 第14期

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