| 关联规则挖掘在Web信息检索中的应用 |
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| 引用本文： | 谭义红,李学勇,陈治平.关联规则挖掘在Web信息检索中的应用[J].计算机工程,2006,32(9):57-58,61. |
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| 作者姓名： | 谭义红 李学勇 陈治平 |
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| 作者单位： | 1. 长沙大学数学与信息科学系,长沙,410003
2. 湖南大学计算机与通信学院,长沙,410082 |
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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。
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| 关 键 词： | 数据挖掘 查询扩展 信息检索 关联规则 |
| 文章编号： | 1000-3428（2006）09-0057-02 |
| 收稿时间： | 2005-06-23 |
| 修稿时间： | 2005-06-23 |
Application of Mining Association Rules in Web Information Retrieval System |
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| TAN Yihong,LI Xueyong,CHEN Zhiping.Application of Mining Association Rules in Web Information Retrieval System[J].Computer Engineering,2006,32(9):57-58,61. |
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| Authors: | TAN Yihong LI Xueyong CHEN Zhiping |
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| Affiliation: | 1. Department of Math and Information Science, Changsha University, Changsha 410003; 2. School of Computer and Communication, Hunan University, Changsha 410082 |
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| Abstract: | 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. |
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| Keywords: | Data mining Query expansion Information retrieval Association rules |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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