Application of machine learning in tax prediction: A review with practical approaches

O Akinrinola, WA Addy, AO Ajayi-Nifise… - Global Journal of …, 2024 - gjeta.com
This scholarly exploration delves into the dynamic intersection of machine learning (ML) and
tax prediction, a realm where the fusion of advanced computational techniques and fiscal …

[PDF][PDF] Predictive analytics as a service on moroccan tax evasion

H Jihal, MA Talhaoui, A Daif, M Azzouazi - vol, 2018 - researchgate.net
Tax evasion is a global problem in governments. It affects society by damaging public
accounts and compromising government performance. The government must take a …

Comparison and application of logistic regression and support vector machine in tax forecasting

X Hui - 2020 International Signal Processing, Communications …, 2020 - ieeexplore.ieee.org
As an indispensable part of economy and society, the proportion of enterprise tax planning
in national finance is becoming increasingly important. With the development of economy …

The utility of neural model in predicting tax avoidance behavior

C Ioana-Florina, C Mare - … Decision Technologies: Proceedings of the 13th …, 2021 - Springer
The phenomenon of tax evasion and phenomenon of tax avoidance are two facets of similar
behavior. Both affect societies across globe. It is a well-known fact that tax revenues account …

[HTML][HTML] Discussion on the development of artificial intelligence in taxation

Z Huang - American Journal of Industrial and Business …, 2018 - scirp.org
With the development of AI technology, a new forecasting and statistical model for tax
auditing has been created. In recent years, thanks to breakthroughs in AI research, tax …

Machine Learning Analytics For Predicting Tax Revenue Potential

RD Febriminanto, M Wasesa - Indonesian Treasury Review …, 2022 - itrev.kemenkeu.go.id
In line with rapid business process digitalization in the Directorate General of Taxes, the size
of the data stored in the institution has grown exponentially. However, there is a problem …

Tax default prediction using feature transformation-based machine learning

MZ Abedin, G Chi, MM Uddin, MS Satu, MI Khan… - IEEE …, 2020 - ieeexplore.ieee.org
This study proposes to address the economic significance of unpaid taxes by using an
automatic system for predicting a tax default. Too little attention has been paid to tax default …

Predicting tax fraud using supervised machine learning approach

BF Murorunkwere, D Haughton, J Nzabanita… - African Journal of …, 2023 - journals.co.za
With the advancement in technology, the tax base in Rwanda has become broader, and as a
result, tax fraud is growing. Depending on the dataset used, fraud detection experts and …

For better or worse? revenue forecasting with machine learning approaches

IH Chung, DW Williams, MR Do - Public Performance & …, 2022 - Taylor & Francis
The recent rapid development of artificial intelligence (AI) is expected to transform how
governments work by enhancing the quality of decision-making. Despite rising expectations …

Comparison of tree-based machine learning algorithms to predict reporting behavior of electronic billing machines

BF Murorunkwere, JF Ihirwe, I Kayijuka, J Nzabanita… - Information, 2023 - mdpi.com
Tax fraud is a common problem for many tax administrations, costing billions of dollars.
Different tax administrations have considered several options to optimize revenue; among …