Using Data Mining Technology to Improve the Reliability of Accounting Information Cloud Data

This study uses data mining technology to improve the reliability of accounting information cloud data, and realizes accurate classification and anomaly detection of data through systematic data cleaning and teleprocessing, optimization and application of support vector machine model. After analyzing data integration and normalization processing, model construction and optimization strategy, performance evaluation and optimization, the optimized SVM model has achieved improvement in data processing efficiency, data accuracy and consistency. Support vector machine model improves the reliability of accounting information cloud data. Through data cleaning and teleprocessing of the system, combined with the optimization and application of SVM model, the accuracy of data classification and anomaly detection have been improved. The data processing efficiency, accuracy and consistency of SVM model increased by 22%, 7.6% and 9.2% respectively. The study emphasizes the importance of data security and privacy protection, and adopts advanced encryption technology to protect the security of data during transmission and storage. This study provides reliable data support for enterprise financial management and decision-making, and promotes the development of accounting normalization. © 2025 Slovene Society Informatika. All rights reserved.