Function Extraction Based on CFPS and Digital Financial Index: Data Mining Techniques for Prognosis of Operational Risks of Financial Institutions

Bohua Li, Ge Li

Open source

DOI
10.1155/2022/9645142
Published
2022-08-11
Container
Journal of Sensors
Publisher
Wiley
Open access
unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1155/2022/9645142,
  title = {Function Extraction Based on CFPS and Digital Financial Index: Data Mining Techniques for Prognosis of Operational Risks of Financial Institutions},
  author = {Bohua Li and Ge Li},
  year = {2022},
  journal = {Journal of Sensors},
  doi = {10.1155/2022/9645142},
  url = {https://doi.org/10.1155/2022/9645142}
}

RIS

TY  - JOUR
TI  - Function Extraction Based on CFPS and Digital Financial Index: Data Mining Techniques for Prognosis of Operational Risks of Financial Institutions
AU  - Bohua Li
AU  - Ge Li
PY  - 2022
JO  - Journal of Sensors
DO  - 10.1155/2022/9645142
UR  - https://doi.org/10.1155/2022/9645142
ER  - 

APA

Li, B., & Li, G. (2022). Function Extraction Based on CFPS and Digital Financial Index: Data Mining Techniques for Prognosis of Operational Risks of Financial Institutions. Journal of Sensors. https://doi.org/10.1155/2022/9645142

Source records