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- W2261838963 abstract "According to data characteristics of the evaluation index,the quantitative association rules mining algorithm is improved and applied to the risk alert of enterprise industry transition strategy based on cloud model.Firstly,evaluation variables are reduced through cloud model.And then,in order to transform quantitative association rules to qualitative ones,the definition fields of quantitative attributes are divided with an attributes space partition method,and the stencil-plate is extracted.Lastly,the association rules are mining to identify strategy risk using Apriori algorithm with rule restrictions.Positive analysis results show that in comparison with BP neural network the model is an efficient and practical risk alert tool." @default.
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- W2261838963 date "2009-01-01" @default.
- W2261838963 modified "2023-09-24" @default.
- W2261838963 title "Study on Risk Alert of Enterprise Industry Transition Strategy Based on Cloud Model Association Rules" @default.
- W2261838963 hasPublicationYear "2009" @default.
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