摘要： 介绍了一种基于线性遗传程序设计()的关联规则挖掘算法。该算法从个体的表示方法和种群结构入手,提出用一个知识库存放LGP描述式(),并提出多目标机制,以达到简化个体的表示,提高种群中个体的多样性,以及使用户能够引导搜索过程的目的。descriptor

关键词: 遗传程序设计, 关联规则, 数据挖掘, 孤岛模型

Abstract: This paper introduces an association rules mining algorithm based on the linear genetic programmingLGP. The algorithm, focusing on the representation of individual and population structure, proposes to store descriptors in a knowledge base and adopts a multi-objective mechanismto simplify the representation of individual, increase the diversity of the individuals and enable the user to guide the search procedure.

中图分类号: 

• TP311.52