Dynamic Evaluation Model of Accounting Information System Credibility Based on Data Mining

Abstract:
In order to promote the stable and healthy development of the accounting information system, certain measures need to be taken to allow users to intuitively understand the credibility level of the accounting information system. For this reason, this paper designs a dynamic evaluation model for the credibility of accounting information systems based on data mining. The article uses data mining methods to extract credibility features, and establishes a credibility evaluation index system based on the feature extraction results. Based on the evaluation index system, this article quantitatively analyzes the credibility and uses the structural hole theory to dynamically measure the credibility level of the accounting information system. The results show that the highest accuracy of the evaluation results of the proposed method is about 85%, and the highest sensitivity is 0.82, indicating that the method has a better application effect.