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基于完全加权关联规则挖掘和查询扩展的信息检索
引用本文:黄名选,严小卫,张师超.基于完全加权关联规则挖掘和查询扩展的信息检索[J].计算机应用与软件,2009,26(8):26-28.
作者姓名:黄名选  严小卫  张师超
作者单位:1. 广西教育学院数学与计算机科学系,广西,南宁,530023
2. 广西师范大学计算机学院,广西,桂林,541004
3. 广西师范大学计算机学院,广西,桂林,541004;悉尼科技大学信息技术学院,悉尼,澳大利亚
基金项目:国家自然科学基金项目 
摘    要:将完全加权关联规则挖掘技术应用于信息检索,提出一种基于完全加权关联规则挖掘和查询扩展的信息检索模型,重点阐述模型的设计思想及其算法和实现的关键技术.实验结果表明,该模型有效,能提高信息检索性能,有很高的实际应用价值和推广前景.

关 键 词:信息检索  查询扩展  项完全加权  关联规则

INFORMATION RETRIEVAL BASED ON ALL-WEIGHTED ASSOCIATION RULES MINING AND QUERY EXPANSION
Huang Mingxuan,Yan Xiaowei,Zhang Shichao.INFORMATION RETRIEVAL BASED ON ALL-WEIGHTED ASSOCIATION RULES MINING AND QUERY EXPANSION[J].Computer Applications and Software,2009,26(8):26-28.
Authors:Huang Mingxuan  Yan Xiaowei  Zhang Shichao
Affiliation:Department of Math and Computer Science;Guangxi College of Education;Nanning 530023;Guangxi;China;College of Computer Science;Guangxi Normal University;Guilin 541004;China;Faculty of Information Technology;Sydney University of Technology;Sydney;Australia
Abstract:In order to apply all-weighted association rules mining technique to information retrieval,a novel information retrieval model was introduced based on all-weighted association rules mining and query expansion in this paper.Its designing conception and algorithm were expounded,some key technologies for implementation were also expatiated.The results of the experiment show that the model proposed is effective and improves the performance of information retrieval with superior applied value of practice as well...
Keywords:Information retrieval Query expansion All-weighted item Association rule  
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