The dealers committing tax evasion in such a way are called return defaulters. In this paper, we construct a logistic regression model that predicts with high ...

Abstract—Tax evasion is an illegal practice where a person or a business entity intentionally avoids paying his/her true tax liability.

A logistic regression model is constructed that predicts with high accuracy whether a business entity is a potential return defaulter for the upcoming ...

This paper reconsiders the optimal taxation of money and other financial assets. The optimal tax formulae reflect that money provides liquidity services and is ...

Request PDF | On Dec 10, 2020, Priya Mehta and others published DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent ...

An automated system and method detects fraudulent transactions using a predictive model such as a neural network to evaluate individual customer accounts.

DeepCatch: Predicting return defaulters in taxation system using example-dependent cost-sensitive deep neural networks. P Mehta, CS Babu, SVKV Rao, S Kumar.

It is shown that the equity ratio, liquidity ratio, and debt-to-sales ratio are the most important indicators of tax defaults for 1-year-ahead predictions, ...

On the Bauchi Internal Revenue Service (BIRS) Taxpayer dataset, our research work presents the hybridised implementation of Sequential Minimal Optimization. ( ...

5 days ago · Predictive analytics in finance provides organizations with data-driven insights and forecasts to optimize trading and investments, facilitate ...