Research on Risk Management of Green Credit in Commercial Banks Based on Distributed Database

Authors

  • Qingqing Duan

DOI:

https://doi.org/10.54691/bcpbm.v32i.2997

Keywords:

Distributed database; Commercial banks; credit risk management

Abstract

Data mining techniques are used in order to develop a credit risk management system for commercial banks. Firstly, the concepts related to data mining and data warehouse technology were introduced, and the existing credit management situation was analyzed. Subsequently, a credit risk management model was designed and implemented based on data mining, taking into account the actual characteristics of China's commercial banking industry. On this basis, attributes were selected before the classification, which not only improved the overall performance of the classifier but also reduced the cost of data acquisition, enabling commercial banks to improve the efficiency of their credit work.

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References

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Zhang Bo Measurement Methods and Empirical Research on Credit Industry Risk of Commercial Banks [D] Yunnan University, 2010

Chen Guanying Problems and solutions of credit management of local commercial banks [J] two thousand and twenty-one

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Published

2022-11-22

How to Cite

Duan, Q. (2022). Research on Risk Management of Green Credit in Commercial Banks Based on Distributed Database. BCP Business & Management, 32, 537-541. https://doi.org/10.54691/bcpbm.v32i.2997