Association rules mining from data with continuous attributes based on niche genetic algorithm

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (5): 184-186.

• 数据库与信息处理 • Previous Articles Next Articles

Association rules mining from data with continuous attributes based on niche genetic algorithm

YANG Guang-jun¹,WANG Li-li²

1.Mechanical and Electronic Engineering Department of Dezhou University，Dezhou，Shandong 253015，China
2.Department of Computer Science and Technology，Dezhou University，Dezhou，Shandong 253015，China

Received:2007-05-28 Revised:2007-08-14 Online:2008-02-11 Published:2008-02-11
Contact: YANG Guang-jun

基于小生境遗传算法的连续属性关联规则挖掘

杨光军¹,王丽丽²

1.德州学院机电工程系，山东德州 253015
2.德州学院计算机系，山东德州 253015

通讯作者: 杨光军

Abstract

Abstract: Discovery of association rules from data with continuous attributes is an important problem.In this paper，a new model of genetic algorithm with three-segment chromosomes is formulated for solving this problem.This algorithm integrates the discretization，reduction and mining association rules.And niche technology is introduced into genetic algorithm to avoid premature phenomenon.The experiment shows that the algorithm is correct and effective.

Key words: association rules, genetic algorithm, discretization, three-segment chromosomes, niche

摘要： 对连续属性数据进行关联规则提取是一个重要的课题，构造了一种新的遗传算法模型，在结构上采用三段式染色体，将连续属性离散化、属性约简和关联规则提取集成在一起，并将小生境引入到遗传算法中避免“早熟”现象。实验表明了该算法是有效的。

关键词: 关联规则, 遗传算法, 离散化, 三段结构染色体, 小生境

YANG Guang-jun¹,WANG Li-li²

. Association rules mining from data with continuous attributes based on niche genetic algorithm[J]. Computer Engineering and Applications, 2008, 44(5): 184-186.

杨光军¹,王丽丽²

. 基于小生境遗传算法的连续属性关联规则挖掘[J]. 计算机工程与应用, 2008, 44(5): 184-186.

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Association rules mining from data with continuous attributes based on niche genetic algorithm

基于小生境遗传算法的连续属性关联规则挖掘

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