摘要
结合遗传算法全局优化的特点,本文提出了采用遗传算法与Apriori方法结合的改进算法,并将其应用于关联规则挖掘过程。改进算法具备较好的全局优化的特性,特别是在深度挖掘和小关联度挖掘的方面,较传统算法的效率有所提高。
Through the combination of genetic algorithm for global optimization features,this paper proposes an improved algorithm using the combination of genetic algorithms and Apriori method,and applies it to the association rule mining process.Improved algorithm has better global optimization characteristics and raised efficiency,especially in the deep mining and related degree mining,compared with the traditional algorithm.
出处
《湖南广播电视大学学报》
2013年第2期56-59,共4页
Journal of Hunan Radio and Television University
关键词
数据挖掘
遗传算法
关联规则
全局优化
data mining
genetic algorithm
association rules
global optimization
