A New Method of Causal Association Rule Mining Based on Language Field

Authors:
Kaijian Liang;Quan Liang;Bingru Yang
Affiliations:
Department of Computer, Hunan Institute of Engineering, Xiangtan 411101, and School of Information and Engineering, University of Science and Technology Beijing, Beijing, 100083,;School of Information and Engineering, University of Science and Technology Beijing, Beijing, 100083,;School of Information and Engineering, University of Science and Technology Beijing, Beijing, 100083,
Venue:
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Year:
2009

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Abstract

Aiming at the research that using more new knowledge to develope knowledge system with dynamic accordance, and under the background of using Fuzzy language field and Fuzzy language values structure as description framework , the generalized cell Automation that can synthetically process fuzzy indeterminacy and random indeterminacy and generalized inductive logic causal model is brought forward. On this basis, the paper provides a kind of the new methods that can discover causal association rules. According to the causal information of Standard Sample Space and Commonly Sample Space,through constructing its state (abnormality) relation matrix, causal association rules can be gained by using inductive reasoning mechanism.The estimate of this algorithm complexity is given,and its validity is proved through case.