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Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms
This paper proposes a new method that can identify and predict financial fraud among listed companies based on machine learning. We collected 18,060 transactions and 363 indicators of finance, including 362 financial variables and a class variable. Then, we eliminated 9 indicators which were not rel...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407419/ https://www.ncbi.nlm.nih.gov/pubmed/36010821 http://dx.doi.org/10.3390/e24081157 |