Revenue Prediction for Malaysian Federal Government Using Machine Learning Technique

Author:

Noor Nadzira1,Sarlan Aliza1,Aziz Norshakirah1

Affiliation:

1. Department of Computer and Information Sciences, Universiti Teknologi Petronas (UTP), Malaysia

Funder

Yayasan Universiti Teknologi Petronas (YUTP)

Publisher

ACM

Reference35 articles.

1. Getting value from Business Intelligence systems: A review and research agenda

2. Study on Business Intelligence Tools for Enterprise Dashboard Development;Gowthami K.;Int. Res. J. Eng. Technol.,2017

3. Loan Default Prediction with Machine Learning Techniques

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5. Predictive Analytics as A Service on Moroccan Tax Evasion;Jihal H.;Artic. Int. J. Eng. Technol.,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning Model for Analytical Prediction of Tax Revenues from Tax Invoice Information;Revista Científica Multidisciplinar Núcleo do Conhecimento;2024-07-10

2. An Enhanced Predictive Analytics Model for Tax-Based Operations;International Journal on Perceptive and Cognitive Computing;2023-01-28

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