Application of Machine Learning Algorithms in Audit Data Analysis

In recent years, with the rapid development of information technology, computer technology and the Internet, various sectors of society have collected a large amount of data. At present, traditional statistical analysis models have limitations. Machine learning system is currently one of the main means to effectively solve problems such as data development and mining. Machine learning is a process of self-improvement using the computer system itself. Therefore, computer applications written by computers can be automated by accumulating practical experience. This article aims to study the application of machine learning algorithms in audit data analysis. Based on the analysis of audit information construction, audit data analysis system design principles, and audit data analysis system non-functional requirements analysis, the audit data analysis system is designed. The association rule algorithm in machine learning is used in audit data mining. Finally, the performance of the system is tested. The test results show that the performance of the system designed in this paper is unified with the pre-demand, which shows that the effectiveness of the system can be satisfied.