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A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements
12 references·5 citing·47 second hop
A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements (2014)A Hybrid Approach of Stepwise Regression,…Identification of fraudulent financial statements using linguistic credibility analysis (2010)Identification of fraudulent …A support vector machine-based model for detecting top management fraud (2010)A support vector machine-base…A hybrid approach of DEA, rough set and support vector machines for business failure prediction (2009)A hybrid approach of DEA, rou…Board of Director Characteristics, Institutional Ownership, and Fraud: Evidence from Australia (2004)Board of Director Characteris…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…The Impact of Insider Power on Fraudulent Financial Reporting (2003)The Impact of Insider Power o…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Causes, consequences, and deterence of financial statement fraud (2003)Causes, consequences, and det…Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Detecting falsified financial…A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting (2000)A Decision Aid for Assessing …Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis. (1998)Fraudulently Misstated Financ…An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)An Empirical Analysis of the …Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications (2024)Uncovering Financial Statemen…Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution (2024)Classical Machine Learning: S…Information Technology and Corporate Governance in Fraud Prevention (2020)Information Technology and Co…An effective going concern prediction model for the sustainability of enterprises and capital market development (2019)An effective going concern pr…Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques (2016)Improving the prediction of g…Research in Organizational Behavior (1984)Upper Echelons: The Organization as a Reflection of Its Top Managers (1984)The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems (1993)A comparison of alternative measures of organizational aspirations (2013)The effect of DEFRA guidance on greenhouse gas disclosure (2014)The Effect of Board Capital and CEO Power on Corporate Social Responsibility Disclosures (2016)Agency Problems and the Theory of the Firm (1980)Separation of Ownership and Control (1983)Corporate Ownership Around the World (1999)An Investigation of Fraud in Nonprofit Organizations: Occurrences and Deterrents (2007)Evidence of assurance enhancing the quality of voluntary environmental disclosures: an empirical analysis (2011)Corporate Governance And Earnings Management: A Survey Of Literature (2013)The Financial and Market Effects of the SEC's Accounting and Auditing Enforcement Releases (1991)Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)Principles of Corporate Governance (2004)Financial Statement Fraud: Insights from the Academic Literature (2008)The impact of board of director oversight characteristics on corporate tax aggressiveness: An empirical analysis (2013)Is Corporate Social Responsibility Performance Associated with Tax Avoidance? 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References

  • 1997An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud3,518 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2003Causes, consequences, and deterence of financial statement fraud585 cited
  • 1998Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis.483 cited
  • 2000A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting437 cited
  • 2010Identification of fraudulent financial statements using linguistic credibility analysis342 cited
  • 2002Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques225 cited
  • 2003The Impact of Insider Power on Fraudulent Financial Reporting216 cited
  • 2004Board of Director Characteristics, Institutional Ownership, and Fraud: Evidence from Australia208 cited
  • 2009A hybrid approach of DEA, rough set and support vector machines for business failure prediction167 cited
  • 2010A support vector machine-based model for detecting top management fraud121 cited

Cited by

  • 2020Information Technology and Corporate Governance in Fraud Prevention33 cited

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2016
Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques
23 cited
  • 2019An effective going concern prediction model for the sustainability of enterprises and capital market development21 cited
  • 2024Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution12 cited
  • 2024Uncovering Financial Statement Fraud: A Machine Learning Approach With Key Financial Indicators and Real-World Applications12 cited