摘要: 数据挖掘是数据库研究的一个热点问题。提出了一种基于遗传算法的数据挖掘算法,适用于分类型数据的挖掘。该算法采用了一种全新的双层结构、可伸缩的多种群进化机制,强调种群个体的多样性,具有良好的全局和局部搜索能力。
关键词:
数据挖掘,
遗传算法,
规则树,
多种群
Abstract: Data mining is a hot research point in database area. In this paper, we discuss a new data mining algorithm based on genetic algorithm. It is designed for classified data. This algorithm uses a two-double and retractable structure, and emphasizes the distribution and diversity of the genes. It has good entire and local research ability.
中图分类号:
董红斌,周志雄. 一种基于双层可伸缩结构遗传算法的分类[J]. , 2001, 27(06): 79-.
DONG Hongbing,ZHOU Zhixiong. A Classified Data Mining Algorithm Based on Genetic Algorithm with Two-double and Retractable Structure[J]. , 2001, 27(06): 79-.