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基于多克隆选择的多维关联规则挖掘算法
引用本文:刘芳,孙杨军.基于多克隆选择的多维关联规则挖掘算法[J].复旦学报(自然科学版),2004,43(5):742-745,749.
作者姓名:刘芳  孙杨军
作者单位:西安电子科技大学,计算机学院,西安,710071;西安电子科技大学,计算机学院,西安,710071
基金项目:国家自然科学基金资助项目(60133010,60372045),国家863计划(2002AA135080)
摘    要:通过引入多克隆选择算法的思想,提出了一种基于多克隆选择的关联规则挖掘算法.仿真对比试验表明,该算法加快了关联规则挖掘的收敛速度,具有更强的全局与局部搜索能力,与基于进化算法和基于免疫算法的关联规则挖掘算法相比,明显提高了所得关联规则的准确率.

关 键 词:数据挖掘  关联规则挖掘  多克隆选择算法
文章编号:0427-7104(2004)05-0742-04

A Novel Association-Rule Mining Algorithm Based on the Polyclonal Selection Algorithm
LIU Fang,SUN Yang-jun.A Novel Association-Rule Mining Algorithm Based on the Polyclonal Selection Algorithm[J].Journal of Fudan University(Natural Science),2004,43(5):742-745,749.
Authors:LIU Fang  SUN Yang-jun
Abstract:A novel association-rule mining algorithm based on the polyclonal selection algorithm is proposed. The simulations show that this algorithm has faster convergence speed ,more powerful global and local searching ability,better self-adaptation ability and better operable ability rather than traditional association-rule mining algorithms.
Keywords:data mining  association-rule mining  polyclonal selection algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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