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Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran
6 references·4 citing·37 second hop
Detecting corporate tax evasion using a hybrid intelligent system: A case study of Iran (2017)Detecting corporate tax evasion using a h…Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments (2015)Detecting the financial state…Using data mining technique to enhance tax evasion detection performance (2012)Using data mining technique t…Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting (2011)Using Financial Statement Dat…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…A Review of Bankruptcy Prediction Studies: 1930 to Present (2006)A Review of Bankruptcy Predic…Financial Management : Theory & Practice (1997)Financial Management : Theory…Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer’s Network Data in Fraud Detection (2022)Improving Tax Audit Efficienc…Combining Network Visualization and Data Mining for Tax Risk Assessment (2020)Combining Network Visualizati…Artificial Intelligence Techniques to Detect and Prevent Corruption in Procurement: A Systematic Literature Review (2020)Artificial Intelligence Techn…An application of machine learning on corporate tax avoidance detection model (2020)An application of machine lea…Financial Ratios As Predictors of Failure (1966)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Detection of financial statement fraud and feature selection using data mining techniques (2010)Detecting financial restatements using data mining techniques (2017)AI in the Financial Sector: The Line between Innovation, Regulation and Ethical Responsibility (2024)Building a Data Warehouse (2008)Washington DC - USA (2008)Mining Suspicious Tax Evasion Groups in Big Data (2016)Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach (2018)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)The application of social network analysis algorithms in a system supporting money laundering detection (2014)Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning (2016)Using social network analysis to prevent money laundering (2016)Risk on the Tax System of the E.U. from 2016 to 2022 (2023)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Effective tax rates and the “industrial policy” hypothesis: evidence from Malaysia (2003)Are Family Firms More Tax Aggressive Than Non-Family Firms? (2007)A review of tax research (2010)Auditor Choice Prediction Model Using Corporate Governance and Ownership Attributes: Machine Learning Approach (2021)Characterization and detection of taxpayers with false invoices using data mining techniques (2012)World Bank World Development Indicators (2014)An evaluation of Altman's Z-score using cash flow ratio to predict corporate failure amid the recent financial crisis: Evidence from the UK (2015)Remaining Financially Healthy and Competitive: The Role of Financial Predictors (2020)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Can financial ratios detect fraudulent financial reporting? (2004)Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)The Impact of Dividend Policy on Shareholders Wealth (2010)A systematic review of literature about finance and sustainability (2016)Inventory Management and Performance of SMEs in the Manufacturing Sector of Harare (2019)
this work references cited by second hop

References

  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2006A Review of Bankruptcy Prediction Studies: 1930 to Present397 cited
  • 2011Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting275 cited
  • 1997Financial Management : Theory & Practice254 cited
  • 2015Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments188 cited
  • 2012Using data mining technique to enhance tax evasion detection performance113 cited

Cited by

  • 2020Combining Network Visualization and Data Mining for Tax Risk Assessment64 cited
  • 2022Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer’s Network Data in Fraud Detection57 cited
  • 2020Artificial Intelligence Techniques to Detect and Prevent Corruption in Procurement: A Systematic Literature Review28 cited
  • 2020An application of machine learning on corporate tax avoidance detection model17 cited

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