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基于遗传算法的最优客户群挖掘研究
引用本文:郭军须,王春娴.基于遗传算法的最优客户群挖掘研究[J].计算机与数字工程,2009,37(8):63-66.
作者姓名:郭军须  王春娴
作者单位:天津工业大学计算机技术与自动化学院,天津,300160
摘    要:介绍了数据挖掘的基本概念和遗传算法的基本原理,并根据存放在数据库中的商场客户信息,设计遗传算法挖掘最优客户群。算法中采用了整数编码和二进制编码相结合的编码表示方法,杂交算子,变异算子和带有限制条件的适应度函数的构造。最后进行了实例仿真。

关 键 词:数据挖掘  遗传算法  最优客户群

Study on Classic Client Cluster Data Mining Based on Genetic Algorithm
Guo Junxu,Wang Chunxian.Study on Classic Client Cluster Data Mining Based on Genetic Algorithm[J].Computer and Digital Engineering,2009,37(8):63-66.
Authors:Guo Junxu  Wang Chunxian
Affiliation:Institute of Computer Technology and Automation;Tianjin Ploytechnic University;Tianjin 300160
Abstract:This paper explains what is data mining and introduces one of the significant algorithms among data mining technologies--genetic algorithm and its basic theories. Then it designs a classic client cluster data mining algorithm based on genetic algorithm combined with shopping mall database. In the algorithm, the combination of integer code method and binary code method was used to code a Chromosome, Crossover operator, Mutation operator and Fitness function with restrictions also was designed. In the end, it shows the experimental results.
Keywords:data mining  genetic algorithm  classic client cluster  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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