摘要
分析针对离散的关系数据构造有效查询关键词的关键因素,并在此基础上提出一种基于遗传算法的查询关键词形成方法 GQFA(Genetic-based Query Forming Algorithm)。对于目标属性,在训练集上应用遗传算法,学习得到与目标属性强相关的属性子集,进而形成合适的查询关键词。实验结果表明,该方法形成的查询关键词能够较好地满足应用需求。
This paper analyzed the key factors of constructing effective query keywords for discrete relational data and advanced a kind of query keywords forming technology named GQFA （ Genetic-based Query Forming Algorithm ） .It learned the optimal at-tribute subset for the target attribute through applying genetic algorithm to the training data set , and then constructed the effective query keywords .Experimental results showed that the query keywords formed by this method can better meet the requirement .
出处
《计算机与现代化》
2013年第12期5-8,13,共5页
Computer and Modernization
基金
国家"973"计划基金资助项目(2012CB316203)
西北工业大学研究生种子基金资助项目(Z2013125
Z2013126)
关键词
查询
属性选择
遗传算法
知识获取
信息检索
query keywords
attribute selection
genetic algorithm
knowledge acquisition
information retrieval
