基于负关联规则与频繁项集挖掘的信息检索系统

Information Retrieval System Based on Negative Association Rules and Frequent Itemsets Mining

提出一种新的基于负关联规则与频繁项集挖掘的信息检索系统模型,详细阐述系统模型的设计思想、各模块的功能,以及检索系统实现的三种关键技术(即频繁项集挖掘技术、负关联规则挖掘技术和查询优化扩充技术)及其检索算法。实验结果表明,该检索系统能有效提高和改善信息检索性能。

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 .