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一种基于遗传算法的查询关键词形成技术
引用本文:杜晶,陈群,刘海龙.一种基于遗传算法的查询关键词形成技术[J].计算机与现代化,2013(12):5-8,13.
作者姓名:杜晶  陈群  刘海龙
作者单位:西北工业大学计算机学院
基金项目: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)
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。

关 键 词:查询  属性选择  遗传算法  知识获取  信息检索

A Query Keywords Forming Technology Based on Genetic Algorithm
DU Jing;CHEN Qun;LIU Hai-long.A Query Keywords Forming Technology Based on Genetic Algorithm[J].Computer and Modernization,2013(12):5-8,13.
Authors:DU Jing;CHEN Qun;LIU Hai-long
Affiliation:DU Jing;CHEN Qun;LIU Hai-long;School of Computer Science,Northwestern Polytechnical University;
Abstract: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 .
Keywords:query keywords  attribute selection  genetic algorithm  knowledge acquisition  information retrieval
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