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New Technology of Library and Information Service  2011, Vol. 27 Issue (7/8): 91-96    DOI: 10.11925/infotech.1003-3513.2011.07-08.15
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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
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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 .
Key wordsInformation retrieval      Frequent itemset      Negative association rule      Model     
Received: 24 May 2011      Published: 09 October 2011



Cite this article:

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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