Security Analysis of Accounting Computerized Information System based on Data Mining and Neural Networks

The security issue of accounting by electronic data processing information systems is a complex system engineering. How to extract useful data from the massive amount of accounting by electronic data processing information and provide decision-making basis for enterprise decision-makers is a key issue. The article is based on data mining and neural network technology, and studies a security analysis method for accounting by electronic data processing information systems based on data mining and neural networks. This method extracts useful information from data and establishes corresponding models through neural networks to identify key factors that affect the security of accounting by electronic data processing information systems. The results show that the average reliability of the accounting computerization information system based on data mining is 84.38%. The average security of the accounting computerization information system based on neural networks is 94.86%. This article combines the two to create a better accounting by electronic data processing information system.