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Audit lead selection and yield prediction from historical tax data using artificial neural networks
Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairness. Traditionally, tax audit leads have been selected based on empirical rules and randomization methods, which are not adaptive, may miss major cases and can introduce bias. Here, we present an audit...
Autores principales: | Chan, Trevor, Tan, Cheng-En, Tagkopoulos, Ilias |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710839/ https://www.ncbi.nlm.nih.gov/pubmed/36449508 http://dx.doi.org/10.1371/journal.pone.0278121 |
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