计算机与现代化 ›› 2012, Vol. 1 ›› Issue (200): 53-03.doi: 10.3969/j.issn.1006-2475.2012.04.014

• 数据库与数据挖掘 • 上一篇    下一篇

基于频繁项集挖掘与查询扩展的信息检索系统模型

黄名选1,冯 平2,谢统义1   

  1. 1.广西教育学院科研处,广西 南宁 530023; 2.广西工学院电控系,广西 柳州 545006
  • 收稿日期:2011-10-25 修回日期:1900-01-01 出版日期:2012-04-16 发布日期:2012-04-16

HUANG Ming-xuan1, FENG Ping2, XIE Tong-yi1   

  1. 1. Scientific Research Office, Guangxi College of Education, Nanning 530023, China;2. Electronic Information and Control Engineering Department, Guangxi University of Technology, Liuzhou 545006, China
  • Received:2011-10-25 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

摘要: 将频繁项集挖掘和查询扩展技术应用于信息检索,提出一种新的基于频繁模式挖掘与查询扩展的信息检索系统模型及其算法,并给出该检索系统模型的设计思想,以及模型总体结构及其各模块功能,实现了系统原型。实验结果表明,该检索系统模型能有效地提高和改善信息检索性能。

关键词: 信息检索, 频繁项集, 查询扩展, 模型

Abstract: In order to apply frequent itemsets mining and query expansion technique to information retrieval, a novel informa-tion retrieval system is introduced based on fusion of frequent itemsets mining and query expansion. To set forth its designing conception, the general structure of the system model and the function of each module are expatiated, and searching algorithm of the system is also expounded, a prototype system is realized. The results of the experiment show that the proposed retrieval system can effectively improve and enhance the performance of information retrieval.

Key words: information retrieval, frequent itemsets, query expansion, model