摘要
数据挖掘是关联规则中一个重要的研究方向。对关联规则的数据挖掘和遗传算法进行概述,阐述关联规则数据挖掘的意义,提出一种采用改进型遗传算法的关联规则的提取算法,并从编码方法、适应度函数的构造和变异、选择、交叉算子设计方面进行讨论和分析,最后结合一个具体实例进行应用。实验证明这种算法是有效的。
Association rule mining is very important in application of the data mining. This paper summarizes data mining of association rule and genetic algorithm, clarifies the realistic significance of data mining of association rules, puts forward on an algorithm for mining association rules based on improved genetic algorithm, discusses and analyses the genetic algorithm in detail from coding method, fitness function, mutation operators, selection operators, crossover operators and other aspects. Finally,a case is provided for applying for this algorithm. The experimental results show that the efficiency of the algorithm for database.
出处
《现代电子技术》
2008年第2期90-92,共3页
Modern Electronics Technique
