摘要
针对传统的数据挖掘技术不能直接应用到半结构化的XML数据挖掘问题,给出了基于本体的XML关联规则挖掘方法。该方法引入领域本体和哈希技术来改进产生频繁项目集的操作和生成关联规则的操作,并且使用哈希表存储相关的领域本体,从而将数据库操作转化为对XML内存树的操作,通过理论分析和实验验证了方法的挖掘效果,论述了该方法的优点。
Due to the fact that the traditional data mining technology can not be directly applied to the semi-structured XML data mining, Ontology-based XML mining association rules mining method was put forward in this paper. In this method by introducing domain ontology and Hash technology, the operation of frequent item sets and generating association rules has been improved, and at the same time it is easy to transform the operation of the database into memory tree based on XML, and at last through theoretical and experimental analysis it has been verified the mining effects of the method, so the advantages of the method are shown.
出处
《计算机应用》
CSCD
北大核心
2008年第9期2318-2320,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(90412010)