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Finansal Tablolarda Hile Riskinin Tespit Edilmesinde Veri Madenciliği Yöntemlerinin Kullanılmasına Yönelik Bir Araştırma
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Finansal Tablolarda Hile Riskinin Tespit Edilmesinde Veri Madenciliği Yöntemlerinin Kullanılmasına Yönelik Bir Araştırma (2021)Finansal Tablolarda Hile Riskinin Tespit …Deep learning for detecting financial statement fraud (2020)Deep learning for detecting f…Detecting financial restatements using data mining techniques (2017)Detecting financial restateme…Financial Fraud Detection Model: Based on Random Forest (2015)Financial Fraud Detection Mod…Detection of Fraud in Financial Statements: French Companies as a Case Study (2013)Detection of Fraud in Financi…Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Fraudulent financial reporting detection and business failure prediction models: a comparison (2008)Fraudulent financial reportin…Causes, consequences, and deterence of financial statement fraud (2003)Causes, consequences, and det…Detecting false financial statements using published data: some evidence from Greece (2002)Detecting false financial sta…A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting (2000)A Decision Aid for Assessing …THE CORPORATE GOVERNANCE MOSAIC AND FINANCIAL REPORTING QUALITY (2004)Ownership structure, corporate governance, and fraud: Evidence from China (2005)Detection of financial statement fraud and feature selection using data mining techniques (2010)Application of gray DEMATEL-ANP in green-strategic sourcing (2021)An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning (2022)Psychological consumer behavior and sustainable green food purchase (2022)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)The Financial and Market Effects of the SEC's Accounting and Auditing Enforcement Releases (1991)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)Using neural networks and data mining techniques for the financial distress prediction model (2008)Identification of fraudulent financial statements using linguistic credibility analysis (2010)MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1 (2012)Financial Ratios As Predictors of Failure (1966)Early warning of bank failure (1977)Perceived importance of red flags across fraud types (2012)Factors Eliciting Corporate Fraud in Emerging Markets: Case of Firms Subject to Enforcement Actions in Malaysia (2018)Using the Beneish M-score model: Evidence from non-financial companies listed on the Warsaw Stock Exchange (2020)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? (2014)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Financial distress prediction: The case of French small and medium-sized firms (2017)Financial crisis prediction model using ant colony optimization (2018)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Stewardship Theory or Agency Theory: CEO Governance and Shareholder Returns (1991)Fraud diamond: Detection analysis on the fraudulent financial reporting (2016)Do The Fraud Triangle Components Motivate Fraud In Indonesia? (2019)Illicit Alcohol: Public Health Risk of Methanol Poisoning and Policy Mitigation Strategies (2021)The impact of performance-based compensation on misreporting (2005)The Cost to Firms of Cooking the Books (2008)Predicting Material Accounting Misstatements* (2011)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Applications of artificial intelligence for disaster management (2020)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Annual report readability, current earnings, and earnings persistence (2008)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Combating emerging financial risks in the big data era: A perspective review (2021)Data science and AI in FinTech: an overview (2021)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)Detecting Management Fraud in Public Companies (2010)Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms (2011)
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References

  • 2003Causes, consequences, and deterence of financial statement fraud585 cited
  • 2000A Decision Aid for Assessing the Likelihood of Fraudulent Financial Reporting437 cited
  • 2002Detecting false financial statements using published data: some evidence from Greece372 cited
  • 2020Deep learning for detecting financial statement fraud291 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 2015Financial Fraud Detection Model: Based on Random Forest165 cited
  • 2017Detecting financial restatements using data mining techniques132 cited
  • 2008Fraudulent financial reporting detection and business failure prediction models: a comparison95 cited
  • 2013Detection of Fraud in Financial Statements: French Companies as a Case Study73 cited

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