Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 466-468.doi: 10.11896/j.issn.1002-137X.2016.11A.104

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Research on Causal Association Rule Mining Based on Constraint Network

CUI Yang and LIU Chang-hong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Causal association rule is one kind of important and special knowledge type in knowledge base,which can reveal the deep knowledge relative to general association rule.Characteristics of the causal relation and the causal association rule mining were briefly introduced at first.Based on that,constraint network theory was used to construct a causal relation structure of variables in practical system so as to solve the problem of how to restrict the casual variable set in initial step of the mining.Casual variable set as well as types of the variables can be inferred easily from the causal relation structure,so complexity of the mining would be reduced and the results would be more accurate.Introduction of the constraint network can make the process of causal association rule mining become more complete.

Key words: Causal association rule,Constraint network,Causal relation structure,Limited table

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