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Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques
The purpose of this study is to establish rigorous and reliable going concern doubt (GCD) prediction models. This study first uses the least absolute shrinkage and selection operator (LASSO) to select variables and then applies data mining techniques to establish prediction models, such as neural ne...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846611/ https://www.ncbi.nlm.nih.gov/pubmed/27186503 http://dx.doi.org/10.1186/s40064-016-2186-5 |