There is no well-built theory on credit risk measurement and decision analysis for financial big data, and an effective and scientific evaluation system for them has not been formed. A review of them can contribute to grasping the abovementioned topics, understanding current issues, analyzing research problems, mastering research challenges, and predicting future research directions. Besides, this paper points out four research directions of credit risk measurement and decision analysis for financial big data. Moreover, this paper can provide some guidance directions and insights for practitioners, researchers, financial institutions, and government departments who have an interest in complex decision-making in big data.
CITATION STYLE
Wu, W. (2022). Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data. Complexity. Hindawi Limited. https://doi.org/10.1155/2022/8942773
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