Research Based On The Data Mining Technology In Network Audit Data Quality Control

In recent years, research and application of computer audit has achieved rapid development. People have achieved certain results on the theory of computer audit, methods, techniques and tools and other aspects of exploration and research. Network audit as a new theory of computer audit and audit approach, changing the auditor's audit of long-standing ways of thinking and working methods, and also impact on the audit of the existing organization. In the network audit mode, audit of electronic data as an important information carrier through the entire audit process, plays a vital role to the audit results and audit. However, facing the increasingly the quantization of electronic data, auditors how to analyze and control mass data quality of audited units is a serious problem. While exploring the traditional methods of traditional data analysis, using the neural network model of data mining technology, this article verifies the quality of financial data of listed companies.Firstly,article starts from the background and significance of research,and discusses the main contents of this paper and research methods based on the introduction of audit data analysis methods of the domestic and international; Secondly, this article mainly introduces the concepts of the data quality and analyzes the characteristics of data quality audits and the causes base on anglicizing the influence of audit data quality of audit evidence and audit risk; Thirdly, this article put forward the feasibility of the application of data mining technology in network audit though analyzing the inadequacies of the traditional auditing data analysis method. Though thinning analysis the general process of auditing, paper discusses the data quality problem and control method from the audit data collection, conversion, clean up and data analysis of all stages of data analysis. Finally, this paper has selected data mining technology in the neural network model and detailed analysis of audit data quality control application problems. Then paper gets the clear quantification financial informational as audit information into the model though using relatively easy to obtain and normative data of listed companies to the analysis results and finally found the audit trail.