Intelligent Audit System Based on Data Mining

Intelligent Audit System Based on Data Mining

연구 분야: Databases

학회: 2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)

With the rapid improvement of my country's informatization level, the development of data and storage technology, and the wide application of data management systems, the trend of data scale is increasing. For big data, my country's audit institutions are always helpless, which is related to the inability to restore existing data, which has huge hidden dangers for the future development of intelligent auditing systems. Through the research on data mining and intelligent auditing, this paper uses the languages required for system development, including C#, MicrosoftSQL, etc., and the development tool SQLSERVER2008, and uses the fuzzy membership degree and the calculation and analysis data of the neural network layer to design an intelligent auditing application system. Mining technology, data analysis of financial audit, data processing and analysis of the relationship between the asset-liability ratio and total asset return rate, expecting to prove the effectiveness and improvement of the intelligent audit system.