Intelligent Risk Detection and Management Model for Enterprises Based on Vibe Algorithm
Traditional enterprise risk detection methods often rely on manual analysis and judgment, which is not only inefficient but also easily affected by human factors, resulting in the inability to guarantee the accuracy and timeliness of risk detection. When the vibe (Visual Background Extractor) algorithm was applied, financial, operational, and market information related to enterprise risk was collected; the collected data was preprocessed, including data cleaning, outlier removal, and data normalization. From 0.85 for small enterprises to 0.91 for ultra large enterprises, although the growth rate was not significant, this trend was evident; the recall rate also showed a similar trend, ranging from 0.80 for small enterprises to 0.89 for ultra large enterprises, indicating that as the scale of the enterprise expanded. Applying the vibe algorithm based enterprise risk intelligent detection and management model to the field of enterprise risk detection is beneficial for improving the intelligence level of enterprise management.
Authors
- Song Yuan
Institutions
- Shanghai University of Political Science and Law (CN)
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/icdacai65086.2024.00029
- Primary Topic
- Banking, Crisis Management, COVID-19 Impact
- Type
- article
- Field-Weighted Citation Impact
- 0.00