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.

Key words: cloud model, association rules, industry transition strategy, risk alert