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...

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Detalles Bibliográficos
Autores principales: Goo, Yeung-Ja James, Chi, Der-Jang, Shen, Zong-De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
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

Internet

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

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