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Detection of Financial Statement Fraud Using Evolutionary Algorithms
15 references·5 citing·42 second hop
Detection of Financial Statement Fraud Using Evolutionary Algorithms (2012)Detection of Financial Statement Fraud Us…Conservatism, SEC investigation, and fraud (2012)Conservatism, SEC investigati…Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting (2011)Using Financial Statement Dat…Predicting Material Accounting Misstatements* (2011)Predicting Material Accountin…Is There an Association between Earnings Management and Auditor-Provided Tax Services? (2011)Is There an Association betwe…Detection of financial statement fraud and feature selection using data mining techniques (2010)Detection of financial statem…A computational model for financial reporting fraud detection (2010)A computational model for fin…Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99 (2009)Detecting and predicting fina…A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud (2007)A genetic algorithm approach …Contemporaneous Risk Factors and the Prediction of Financial Statement Fraud (2006)Contemporaneous Risk Factors …Can financial ratios detect fraudulent financial reporting? (2004)Can financial ratios detect f…The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach (2000)The efficacy of red flags in …An Analysis of Fuzzy Clustering and a Hybrid Model for the Auditor's Going Concern Assessment* (2000)An Analysis of Fuzzy Clusteri…Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis. (1998)Fraudulently Misstated Financ…Assessing the Risk of Management Fraud Through Neural Network Technology. (1997)Assessing the Risk of Managem…THE INVESTIGATION OF COST VARIANCES: A FUZZY SET THEORY APPROACH* (1984)THE INVESTIGATION OF COST VAR…The application of machine learning to study fraud in the accounting literature (2024)The application of machine le…Predicting financial distress in TSX-listed firms using machine learning algorithms (2024)Predicting financial distress…Detecting future financial statement fraud using a machine learning model in Indonesia: a comparative study (2023)Detecting future financial st…Predicting earnings management through machine learning ensemble classifiers (2022)Predicting earnings managemen…The effect of intellectual capital on fraud in financial statements (2021)The effect of intellectual ca…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Corporate financial distress : a complete guide to predicting, avoiding, and dealing with bankruptcy (1983)Detecting and Predicting Financial Statement Fraud: The Effectiveness of the Fraud Triangle and SAS No. 99 (2008)Fraud Risk Factor Of The Fraud Triangle Assessing The Likelihood Of Fraudulent Financial Reporting (2011)The Constant Comparative Method of Qualitative Analysis (1965)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits (2014)A survey of the applications of text mining in financial domain (2016)Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges (2020)Financial Ratios As Predictors of Failure (1966)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2019)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)The Reputational Penalty Firms Bear from Committing Criminal Fraud (1993)The Detection of Earnings Manipulation (1999)Evolutionary computing applied to customer relationship management: A survey (2016)Detecting anomalies in financial statements using machine learning algorithm (2019)Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud (2020)Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)Optimal auditing for insurance fraud (2009)Detection of Fraud in Financial Statements: French Companies as a Case Study (2013)Good Apples, Bad Apples: Sorting Among Chinese Companies Traded in the U.S. (2014)Dimensions of Organization Structure (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)The Antecedents and Consequences of Top Management Fraud (2005)Detecting Earnings Management. (1995)Performance matched discretionary accrual measures (2005)The economic implications of corporate financial reporting (2005)Understanding earnings quality: A review of the proxies, their determinants and their consequences (2010)A Framework for Understanding and Researching Audit Quality (2011)Executive Overconfidence and the Slippery Slope to Financial Misreporting (2011)Restoring Trust after Fraud: Does Corporate Governance Matter? (2005)Insider ownership, ownership concentration and investment performance: An international comparison (2008)Stock Market’s Reaction to Disclosure of Environmental Violations: Evidence from China (2011)Mendeteksi Kecurangan Laporan Keuangan dengan Analisis Fraud Pentagon (2018)Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction (2016)Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)
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References

  • 2011Predicting Material Accounting Misstatements*1,832 cited
  • 2010Detection of financial statement fraud and feature selection using data mining techniques586 cited
  • 1998Fraudulently Misstated Financial Statements and Insider Trading: An Empirical Analysis.483 cited
  • 2009Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99431 cited
  • 2011Using Financial Statement Data To Identify Factors Associated With Fraudulent Financial Reporting275 cited
  • 1997Assessing the Risk of Management Fraud Through Neural Network Technology.244 cited
  • 2004Can financial ratios detect fraudulent financial reporting?230 cited
  • 2010A computational model for financial reporting fraud detection182 cited
  • 2006Contemporaneous Risk Factors and the Prediction of Financial Statement Fraud97 cited
  • 2007A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud84 cited
  • 2011Is There an Association between Earnings Management and Auditor-Provided Tax Services?83 cited
  • 2000The efficacy of red flags in predicting the SEC's targets: an artificial neural networks approach78 cited
  • 1984THE INVESTIGATION OF COST VARIANCES: A FUZZY SET THEORY APPROACH*63 cited
  • 2012Conservatism, SEC investigation, and fraud

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46 cited
  • 2000An Analysis of Fuzzy Clustering and a Hybrid Model for the Auditor's Going Concern Assessment*41 cited
  • Cited by

    • 2021The effect of intellectual capital on fraud in financial statements52 cited
    • 2023Detecting future financial statement fraud using a machine learning model in Indonesia: a comparative study30 cited
    • 2024Predicting financial distress in TSX-listed firms using machine learning algorithms30 cited
    • 2024The application of machine learning to study fraud in the accounting literature25 cited
    • 2022Predicting earnings management through machine learning ensemble classifiers23 cited