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.
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Liang, K., Liang, Q., Yang, B. (2007). A New Method of Causal Association Rule Mining Based on Language Field. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_40
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DOI: https://doi.org/10.1007/978-3-540-74205-0_40
Publisher Name: Springer, Berlin, Heidelberg
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