On the public citation graph

Revenue Prediction for Malaysian Federal Government Using Machine Learning Technique

https://doi.org/10.1145/3524304.3524337
0 signed · 29 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.comnet.2017.06.013openalex-snapshot
The role of big data analytics in Internet of Things
inferredcites →https://doi.org/10.1016/j.dss.2016.09.019openalex-snapshot
Getting value from Business Intelligence systems: A review and research agenda
inferredcites →https://doi.org/10.1016/j.eswa.2017.07.027openalex-snapshot
Tax payment default prediction using genetic algorithm-based variable selection
inferredcites →https://doi.org/10.1016/j.ipm.2021.102725openalex-snapshot
Organizational business intelligence and decision making using big data analytics
inferredcites →https://doi.org/10.1016/j.is.2016.05.001openalex-snapshot
Benchmarking regression algorithms for income prediction modeling
inferredcites →https://doi.org/10.1088/1742-6596/1682/1/012083openalex-snapshot
Prediction Method of Enterprise Return on Net Assets Based on Improved Random Forest Algorithm
inferredcites →https://doi.org/10.1109/ccns50731.2020.00009openalex-snapshot
Loan Default Prediction with Machine Learning Techniques
inferredcites →https://doi.org/10.1109/icacci.2018.8554642openalex-snapshot
Fuel Price Prediction Using RNN
inferredcites →https://doi.org/10.1109/iccsp.2019.8698011openalex-snapshot
Demand and Revenue Forecasting through Machine Learning
inferredcites →https://doi.org/10.1109/icicct.2017.7975174openalex-snapshot
A review and analysis of machine learning and statistical approaches for prediction
inferredcites →https://doi.org/10.1109/icicos.2017.8276357openalex-snapshot
Predicting house sale price using fuzzy logic, Artificial Neural Network and K-Nearest Neighbor
inferredcites →https://doi.org/10.1109/icivc.2018.8492883openalex-snapshot
Construction Model Using Machine Learning Techniques for the Prediction of Rice Produce for Farmers
inferredcites →https://doi.org/10.1109/icrcicn.2018.8718711openalex-snapshot
Design of a novel Prediction Engine for predicting suitable salary for a job
inferredcites →https://doi.org/10.1109/intercon.2017.8079660openalex-snapshot
Hybrid model based on genetic algorithms and neural networks to forecast tax collection: Application using endogenous and exogenous variables
inferredcites →https://doi.org/10.1109/kbei.2019.8735037openalex-snapshot
Profitability Prediction for ATM Transactions Using Artificial Neural Networks: A Data-Driven Analysis
inferredcites →https://doi.org/10.1109/kicss.2016.7951419openalex-snapshot
Implement of salary prediction system to improve student motivation using data mining technique
inferredcites →https://doi.org/10.1109/platcon.2019.8669416openalex-snapshot
A Design of a Tax Prediction System based on Artificial Neural Network
inferredcites →https://doi.org/10.1109/sitis.2016.106openalex-snapshot
Random Forest for Salary Prediction System to Improve Students' Motivation
inferredcites →https://doi.org/10.1109/wi.2018.00011openalex-snapshot
Regression Analysis towards Estimating Tax Evasion in Goods and Services Tax
inferredcites →https://doi.org/10.1155/2019/9323482openalex-snapshot
Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems
inferredcites →https://doi.org/10.14419/ijet.v7i4.32.23253openalex-snapshot
Predictive Analytics as A Service on Moroccan Tax Evasion
inferredcites →https://doi.org/10.22004/ag.econ.264561openalex-snapshot
Forecasting Tax Revenue and its Volatility in Tanzania
inferredcites →https://doi.org/10.3390/fi11040086openalex-snapshot
Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers
inferredcites →https://doi.org/10.35940/ijeat.a9640.109119openalex-snapshot
Accuracy Analysis of ANN Back Propagation, Neuro-Fuzzy, and Radial Basis Function: A Case of HDI Forecasting

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4460041openalex-extracted
Segmented Learning Architecture Model for Analytical Tax Revenue Forecasting Based on Electronic Invoice Information
inferred← citeshttps://doi.org/10.1109/ictest64710.2025.11042499openalex-snapshot
AI-Powered GST Analytics: Detecting Fraud Using Machine Learning Approach
inferred← citeshttps://doi.org/10.31436/ijpcc.v9i1.343openalex-snapshot
An Enhanced Predictive Analytics Model for Tax-Based Operations
inferred← citeshttps://doi.org/10.32749/nucleodoconhecimento.com.br/computer-engineering/learning-modelopenalex-snapshot
Learning Model for Analytical Prediction of Tax Revenues from Tax Invoice Information
inferred← citeshttps://doi.org/10.55959/msu0130-0105-6-60-2-1openalex-snapshot
Short-term forecasting of budget tax revenue: methods used and their relevance for Russia
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.