We try to analyze the attitudes of taxpayers regarding tax system. We propose an approach
which combines between theory and practice. In the first step, we present a normative …

Tax collecting in the developing countries has been associated with a lot of fraud which is a
challenge to detect. This is because of the growth in size of data and also the absence of …

Fraud detection is a rapidly developing field; several technologies have been used to
prevent fraud such as data mining (DM). The use of data mining applications have shown …

In this study, we analyze taxpayers' behaviour regarding tax system. We present a
theoretical study of a model pre established by other authors based on the expected utility …

Defining and testing a policy on a socioeconomic system is one of the main problems
addressed by agent-based modelling. While research continues to be conducted to come up …

Este trabajo presenta una propuesta para modelizar y predecir el comportamiento de los
contribuyentes del Impuesto de la Renta de las Personas Físicas (IRPF) con técnicas de …

Objective: Data mining is an effective tool to improve and enhance the efficiency and
effectiveness of tax processes by extracting beneficial knowledge and insight from tax data …

The individual group are the largest group of taxpayers which covers 82% of the total
population of registered taxpayer in Malaysia. However, in terms of tax collection, it only …

An over rm1 trillion of country's national debt in Malaysia since year 2018 has brought the
people's attention to the government's efforts especially the government revenue collection …

هدف: با توجه به اهمیت استخراج دانش مفید از داده‌های مالیاتی و نقش مؤثر داده‌کاوی در این زمینه، هدف
این پژوهش، مرور ادبیات جامع و نظام‌مند و ارائه گزارشی از وضعیت تحقیقات حوزه داده‌کاوی و مالیات …‎