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Detection of fraudulent financial statements using the hybrid data mining approach
The purpose of this study is to construct a valid and rigorous fraudulent financial statement detection model. The research objects are companies which experienced both fraudulent and non-fraudulent financial statements between the years 2002 and 2013. In the first stage, two decision tree algorithm...
Gorde:
| Argitaratua izan da: | Springerplus |
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| Egile nagusia: | |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer International Publishing
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4729758/ https://ncbi.nlm.nih.gov/pubmed/26848429 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-1707-6 |
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