摘要
引入规则提取量的度量标准,提出一种基于免疫多克隆遗传策略的W eb日志关联规则挖掘方法。该算法在遗传算法的基础上引入免疫多克隆算子,有效地克服了遗传算法容易陷入局部最优的缺点,具有更强的全局与局部搜索能力。实验结果表明,该算法能高效地解决W eb日志关联规则挖掘问题。
The paper combined with the rule extraction number, brought forward a method of mining Web log association rule based on immune poly-clonal genetic strategy. The algorithm based on genetic algorithm introduced polyclonal immune operator, it effectively overcame the genetic algorithm vulnerable to the shortcomings of local optimum, and the global and local search capability was stonger. The experimental results show that the algorithm can efficiently solve the Web log association rule mining problem.
出处
《计算机应用研究》
CSCD
北大核心
2010年第2期500-502,共3页
Application Research of Computers
基金
国家科技型中小企业技术创新基金资助项目(07C26224501847)
广西教育厅科研基金资助项目(200808LX242)
关键词
WEB日志挖掘
关联规则
遗传算法
规则提取量
免疫多克隆算法
Web log mining
associatiori rules
genetic algorithm
rules extraction number
immune poly-clonal algorithm