Applied Research Of Financial Risk Analysis Method Based On Data Mining

The development of economic globalization has exacerbated the competitive pressures among enterprises to a large extent.How to carry out risk management has become the top priority for enterprises.Traditional statistical analysis methods have many drawbacks,which are not conducive to the operation of large amounts of data,neglect the impact of time continuity on financial indicators,and cannot grasp the dynamic trend of financial indicators in time.Under this background,based on the application of financial risk analysis method of data mining,this topic proposes a method of financial risk analysis based on the interaction mining of association rules.Based on the various financial risks that enterprises face,a special risk analysis model,Analyze the key factors,and finally carry out empirical research.The main research includes several aspects:(1)An interactive mining algorithm based on association rules.Based on the Hash structure,an interactive mining algorithm HIUA is used to effectively make up for the shortcomings of this algorithm in the pruning stage.Support counting has always been an important factor that restricts the execution speed of algorithms.With Hash structure,it greatly improves the access speed and makes the algorithm more secure.(2)Establish an interactive mining financial analysis model based on the key rules.Based on the theoretical foundation of corporate financial risk analysis,we establish some index parameters that are closely related to the financial risk of the enterprise,and carry out specific studies around its relevance.Describe the method of classifying the financial risk interval and determine the financial risk analysis model accordingly.(3)Conduct empirical research with twenty domestic listed companies as research objects.Based on the empirical analysis of financial risk and the advantages of the interactive mining algorithm based on association rules,the reconstruction and correlation analysis of data set and index variables are carried out.At the same time,the mining algorithm is also based on the mining platform also established targeted to achieve the threshold of the flexible regulation,but also makes the rules of the number of maps,the output of the time efficiency chart more specific,based on the analysis of the rules.Empirical Study on Enterprise Financial Risk Analysis.Through the selection of samples,the selection of indicators and the reconstruction of the database,the financial risks of the enterprises are analyzed,and relevant early-warning programs are given.