Abstract

Guided by the theories of system theory, synergetic theory, and other disciplines and based on fuzzy data mining algorithm, this article constructs a three-tier social security fund cloud audit platform. Firstly, the article systematically expounds the current situation of social security fund and social security fund audit, such as the technical basis of cloud computing and data mining. Combined with the actual work, the necessity and feasibility of building a cloud audit platform for social security funds are analyzed. This article focuses on the construction of the cloud audit platform for social security funds. The general idea of using fuzzy data mining algorithm to build the social security fund audit cloud platform is to compress the knowledge contained in a large number of data into the weights between nodes and optimize the weights through the learning of the neural network system. Through the optimization function, the information contained in the neural network is stored in a few weights as far as possible. The main information is further highlighted by network clipping and removing weights that have little impact on the output.

Highlights

  • With the obvious common benefit of the global political and economic integration, the informationization, automation, and paperless development of government management functions represented by e-government are developing rapidly in China

  • No matter what the social insurance fund looks like from the process of income and expenditure or from a specific operation, the greater the risk is, the greater the risk is. Once they occur, are likely to be hazardous. e regulation of social insurance funds directly affects the realization of social insurance benefits and the stability of the national economy and society

  • As for the audit work, many social security services produce difficult-to-measure audit data; it was difficult for the traditional computer audit method to meet the audit requirements. erefore, a new technology represented by modern computer technology is widely used in social security information management

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Summary

Introduction

With the obvious common benefit of the global political and economic integration, the informationization, automation, and paperless development of government management functions represented by e-government are developing rapidly in China. E cloud audit service of social security funds can achieve the coordinated development of audit departments at all levels to a certain extent, reduce the development cost of audit software, improve the work efficiency of audit services, and play a certain role in promoting the development of social security fund audit in China. The primary task at present is to study how to apply the above concepts and theories into practice and build a cloud audit platform for social security funds based on data mining. It is used to collect and manage social security funds needed for the audit of all kinds of information and data, to update the data stored and organic collection, intelligent choice, and use of the audit model through information sharing, information communication, and quality control, and to realize the automated processing of audit and audit intelligent management, saving the audit time and improving work efficiency.

Related Work
Cloud Audit Platform for Social Security Funds
Design environment
Fuzzy Data Mining Algorithm Implementation
Verification of Social Security Fund Audit
Conclusion
Full Text
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