Information Retrieval System Based on Negative Association Rules and Frequent Itemsets Mining
Huang Mingxuan1, Yu Ru2
1. Department of Math and Computer Science, Guangxi College of Education, Nanning 530023, China;
2. Party and Administration Office, Guangxi College of Education, Nanning 530023, China
Abstract:A novel model of information retrieval system based on negative association rules and frequent itemsets mining is proposed, and its designing conception and the function of each module are expounded. And some key techniques to implement the model and searching algorithm are also expatiated. The results of experiment show that the proposed model can improve and enhance the performance of information retrieval effectively .
黄名选, 余如. 基于负关联规则与频繁项集挖掘的信息检索系统[J]. 现代图书情报技术, 2011, 27(7/8): 91-96.
Huang Mingxuan, Yu Ru. Information Retrieval System Based on Negative Association Rules and Frequent Itemsets Mining. New Technology of Library and Information Service, 2011, 27(7/8): 91-96.
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