Abstract
When traditional methods analyze the audit data of enterprise financing alliance, there are some problems, such as long algorithm modeling time and low accuracy of interest distribution algorithm of enterprise financing alliance. Therefore, this paper proposes an analysis method of interest distribution of enterprise audit data financing alliance based on the decision tree algorithm. The audit data collection process of enterprise financing alliance is given, and the continuous attributes of audit data are discretized by the C4.5 algorithm. We perform enterprise financing alliance audit data analysis, remove inconsistencies from audit data through data cleaning, and finally realize enterprise financing alliance audit data analysis based on the improved C4.5 algorithm. The experimental results show that this method can shorten the modeling time and improve the accuracy of interest distribution algorithm of enterprise financing alliance. We achieved an average accuracy of 84.7% with the C4.5 algorithm while 84.35% with NBTree.
Highlights
Studies have shown that establishing a financing cooperation alliance between small and medium-sized enterprises (SMEs) is an effective way to solve the financing difficulties of SMEs
Most of the research on the distribution of interest has evolved from the game, for example, using the expected income of the pairwise game under different situations of the three parties to study whether banks, small and medium-sized enterprises and guarantee institutions participate in cooperation under the condition of incomplete information
In order to analyze the audit data of benefit distribution of enterprise financing alliance, this paper introduces the decision tree algorithm. e ID3 algorithm forms a decision tree and uses mutual information to find
Summary
Studies have shown that establishing a financing cooperation alliance between small and medium-sized enterprises (SMEs) is an effective way to solve the financing difficulties of SMEs. The imbalance of benefit distribution of financing alliance has become one of the factors leading to the instability of financing alliance [1] At this stage, most of the research on the distribution of interest has evolved from the game, for example, using the expected income of the pairwise game under different situations of the three parties to study whether banks, small and medium-sized enterprises and guarantee institutions participate in cooperation under the condition of incomplete information. In order to analyze the audit data of benefit distribution of enterprise financing alliance, this paper introduces the decision tree algorithm.
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