Accounting Information Cloud Data Integrity Verification Algorithm Based on Data Mining

Authors

  • Yong Hou Department of Computer Engineering, Henan Institute of Economics and Trade, Zhengzhou 450018, Henan, China

Abstract

This study was conducted to explore the accounting information cloud data integrity verification algorithm based on data mining technology, focusing on evaluating its effect and accuracy in practical applications. By choosing the decision tree algorithm and the association rule mining algorithm, the financial data of xx enterprise is verified by experiment. The results show that the decision tree algorithm is superior to the association rule mining algorithm in terms of classification accuracy and expansivity, and has high practical value. It was found that there is a significant correlation between revenue, cost, expense and profit, and that data mining technology can significantly improve data processing efficiency and decision support ability. This study provides strong support for improving the data integrity and security of accounting information systems, and provides a theoretical basis
and practical guidance for enterprise financial management and decision optimization.

Keywords: data mining; Accounting information; Integrity; Algorithm application

Cite As

Y. Hou, "Accounting Information Cloud Data Integrity Verification Algorithm Based on Data Mining",
Engineering Intelligent Systems, vol. 34 no. 1, pp. 73-83, 2026.

 

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Published

2026-01-01

Issue

Vol. 34 No. 1 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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