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关联规则挖掘在Web信息检索中的应用 被引量:4

Application of Mining Association Rules in Web Information Retrieval System
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摘要 查询扩展是智能信息检索中重要组成部分,该文提出了一种基于关联库的查询扩展方法。该方法利用关联规则挖掘技术,自动从文档中导出概念/词语之间相关性及层次关系,由此构建关联库,通过关联库对查询需求进行查询扩展。实验结果显示,该方法是有效的,能提高信息检索的查全率和查准率。 Since the query expansion is one of the most important parts of intellectualized information retrieval, this paper puts forward a method of query expansion based on the association rules-based database. In the method, firstly, the associations between concept/words entry and the concept layers are derived from the documents automatically by the technology of mining association rules, with which the association rules-based database is built, then the retrieval needs are expanded based on the database. The experiment shows that this method is efficient, and the accuracy of retrieval is improved.
出处 《计算机工程》 EI CAS CSCD 北大核心 2006年第9期57-58,61,共3页 Computer Engineering
关键词 数据挖掘 查询扩展 信息检索 关联规则 Data mining Query expansion Information retrieval Association rules
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参考文献5

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二级参考文献4

共引文献274

同被引文献26

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