Computer Science ›› 2014, Vol. 41 ›› Issue (4): 239-243.

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Research of Mining Meta-association Rules for Dynamic Association Rule Based on Gray-periodic Extensional Model

ZHANG Zhong-lin,SHI Hao-yin and SONG Hang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: A method applying Gray-Periodic extensional combinatorial model to Meta-rule mining for dynamic association rules to improve the prediction accuracy was proposed.In this method,firstly a GM(1,1) model is established by counting the support of the Meta-rule for dynamic association rules and then the residuals sequence generated during modeling is integrated to build the periodic extensional model and extract the optimal cycle.Secondly,the periodic extensional model is used as residual compensation for the GM(1,1) model.So the final prediction model is presented when superimposing the GM(1,1) model and results of the periodic extensional model together.At last,the results show that the method has higher prediction accuracy.

Key words: GM(1,1) model,Periodic extensional model,Dynamic association rules,Meta-rule

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