Work

Methodology for identifying tax evading organizations based on the method “Random Forest”

Year: 2024
Type: article
Abstract: The article describes the author’s methodology for identifying tax evading organizations. The methodology is based on the analysis of financial and non-financial factors of companies’ activities using the “Random Forest” machine learning method. The results of the study can be used by law enforcement and tax authorities as a tool to counteract tax evasion.
Language: English
Open Access status: diamond
OpenAlex ID: W4405571245
FWCI:
Cites: 1
Cited by:
Related to: 10