Research On Economic Responsibility Audit Based On Data Mining Technology

Nowadays,computer technology has been widely used.Compared with the traditional methods of manual accounting,the mode of computerized accounting and the mode of data computerization have obvious advantages.The audit work is based on the finance of the audited company enterprises and their business data.It is very important to find the valuable data of its application in the mass data.So,now most of the audit institutions begin to pay attention to the selection of data,and the audit staff should be able to find out from these data.We reseached the audit system and adopted the data mining technology to upgrade the traditional audit stratified sampling technology to a certain extent.The main content of this thesis is as follows.The concept of data mining is introduced,and its present situation is introduced in detail.Based on the relevant contents of the audit of data mining,the application of the audit sampling system is described,and the positive significance of the in-depth study on the audit sampling system is expounded.Then it introduces the related technologies of the development of the audit sampling system in detail,including the two technologies of clustering and association rules,and expounds the data mining technology commonly used in the audit sampling,and how the technology affects the audit sampling.In the practice activities of data mining,the audit system studies the process of data mining,and then based on the improved algorithm of K means,so as to upgrade the previous methods of data mining in the audit,make the audit relatively concise and improve the accuracy..This article selects the association analysis model,deeply analyzes the sample data of the audited units,and then determines the higher risk audit projects,so as to facilitate the audit related personnel to select the key audit in the audit work,and ultimately improve the quality of the audit work.