本体在基于电子商务的关联规则挖掘研究中的应用

Application of Ontology in Research for Association Rule Mining Based on E-commerce

关联规则挖掘(Association Rule Mining)是数据挖掘研究的一个重要分支,目前许多关联规则挖掘系统仅在数据内容上生成规则,缺乏领域知识,产生大量无用的结论。为解决以上问题,提出在电子商务的关联规则挖掘中引入本体,对本体在关联规则挖掘中的3个主要问题进行研究。

Association Rule Mining （ARM） is an important part in data mining. The rules of the mining only based on data within the knowledge of the field, the count of rules is too large to get interesting.To solve the problem, the article proposes the ontology lead into ARM of e-commerce. The article researchs three important parts of ARMO.