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Deep Learning Credit Risk Early Warning System Combines Multi-Source Data
A new arXiv paper proposes a credit risk early warning system that merges heterogeneous data sources using deep learning and real-time analytics. The authors argue that existing financial monitoring tools are slowed by fragmented data and delayed detection. The work is categorized under machine learning and is cross-listed on arXiv.