Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (31): 9-11.DOI: 10.3778/j.issn.1002-8331.2009.31.003

• 博士论坛 • Previous Articles     Next Articles

Research on causal association rule mining in knowledge discovery

CUI Yang,YANG Bing-ru   

  1. Department of Computer Science and Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • Received:2009-08-21 Revised:2009-09-27 Online:2009-11-01 Published:2009-11-01
  • Contact: CUI Yang

知识发现中的因果关联规则挖掘研究

崔 阳,杨炳儒   

  1. 北京科技大学 信息工程学院,北京 100083
  • 通讯作者: 崔 阳

Abstract: Causal association rule is one kind of important and available knowledge in knowledge base.In this paper,some special properties of causal relation are discussed at first,and then research on represention,mining and evaluation of causal association rule is introduced in detail based on language field and generalized inductive logic causal model.Finally,a new concept of hidden causal association rule is prospected.The application of language field and reasoning mechanism make the process of mining and evaluation of causal association rule logical and extensible.

Key words: causal association rule, language field, knowledge discovery, hidden causal association rule, hidden causal association rule

摘要: 因果关联规则是知识库中一类重要的知识类型,具有重要的应用价值。首先对因果关系的特殊性质进行了分析,然后基于语言场和广义归纳逻辑因果模型,从表示、挖掘、评价和应用几方面,对因果关联规则的研究进行了详细论述。并在此基础上提出了隐含因果关联规则的概念。通过语言场和推理机制的运用,使因果关联规则这一重要知识形式的挖掘和评价过程具有良好的逻辑性和扩张性。

关键词: 因果关联规则, 语言场, 知识发现, 隐含因果关联规则

CLC Number: