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Assessing the Risk of Management Fraud Through Neural Network Technology.
0 references·16 citing·54 second hopsampled
Assessing the Risk of Management Fraud Through Neural Network Technology. (1997)Assessing the Risk of Management Fraud Th…Predicting fraudulent financial reporting using artificial neural network (2017)Predicting fraudulent financi…Detecting financial restatements using data mining techniques (2017)Detecting financial restateme…Fraud detection using fraud triangle risk factors (2016)Fraud detection using fraud t…Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction (2016)Finding Needles in a Haystack…Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning (2016)Detecting financial misstatem…Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China (2014)Application of Machine Learni…A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits (2014)A taxonomy to guide research …A business process mining application for internal transaction fraud mitigation (2011)A business process mining app…Can Linguistic Predictors Detect Fraudulent Financial Filings? (2010)Can Linguistic Predictors Det…A support vector machine-based model for detecting top management fraud (2010)A support vector machine-base…The Impact of Academic Accounting Research on Professional Practice: An Analysis by the AAA Research Impact Task Force (2009)The Impact of Academic Accoun…Bankruptcy theory development and classification via genetic programming (2004)Bankruptcy theory development…A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)A fuzzy neural network for as…Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Detecting falsified financial…A roadmap for future neural networks research in auditing and risk assessment (2002)A roadmap for future neural n…The Relative Importance of Management Fraud Risk Factors (2001)The Relative Importance of Ma…An overview of data warehousing and OLAP technology (1997)The Concept of Information Overload - A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines (2004) (2008)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Audit Digitalization and Its Consequences on the Audit Expectation Gap: A Critical Perspective (2022)Big data analytics in auditing and the consequences for audit quality: A study using the technology acceptance model (TAM) (2022)Exploring the evolution of creative accounting and external auditors: Bibliometric analysis (2024)A neural network model for bankruptcy prediction (1990)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)The evaluation of consumer loans using support vector machines (2005)Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Oil price forecasting using gene expression programming and artificial neural networks (2016)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)A selective ensemble based on expected probabilities for bankruptcy prediction (2008)Bankruptcy prediction using terminal failure processes (2014)A two-stage classification technique for bankruptcy prediction (2016)Fuzzy sets (1965)Fuzzy sets (1996)Decision support systems and intelligent systems (1997)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)Incentives and Penalties Related to Earnings Overstatements that Violate GAAP (1999)Accounting disclosures, accounting quality and conditional and unconditional conservatism (2011)Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)The Transition to IFRS and the Value Relevance of Financial Statements in Greece (2011)Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Comprehensive rule-based compliance checking and risk management with process mining (2012)Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization (2012)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)A QUANTITATIVE APPROACH TO CONTENT VALIDITY1 (1975)Separation of Ownership and Control (1983)Performance matched discretionary accrual measures (2005)Do The Fraud Triangle Components Motivate Fraud In Indonesia? (2019)Tracking disclosure change trajectories for financial fraud detection (2022)Fraud triangle and earnings management based on the modified M-score: A study on manufacturing company in Indonesia (2023)Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)Business Intelligence and Analytics: From Big Data to Big Impact (2012)An Exploratory Study into the Use of Audit Data Analytics on Audit Engagements (2020)Machine learning improves accounting estimates: evidence from insurance payments (2020)The Data Analytics Journey: Interactions Among Auditors, Managers, Regulation, and Technology* (2021)Detecting Earnings Management. (1995)Earnings Management through Real Activities Manipulation (2003)Understanding earnings quality: A review of the proxies, their determinants and their consequences (2010)Research Topics in Accounting Fraud in the 21st Century: A State of the Art (2019)An Analysis on Financial Statement Fraud Detection for Chinese Listed Companies Using Deep Learning (2022)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)
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  • 2002Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques225 cited
  • 2003A fuzzy neural network for assessing the risk of fraudulent financial reporting219 cited
  • 2016Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction216 cited
  • 2011A business process mining application for internal transaction fraud mitigation175 cited
  • 2004Bankruptcy theory development and classification via genetic programming160 cited
  • 2002A roadmap for future neural networks research in auditing and risk assessment155 cited
  • 2016Fraud detection using fraud triangle risk factors150 cited
  • 2016Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning141 cited
  • 2014A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits137 cited
  • 2017Detecting financial restatements using data mining techniques132 cited
  • 2010Can Linguistic Predictors Detect Fraudulent Financial Filings?130 cited
  • 2010A support vector machine-based model for detecting top management fraud121 cited
  • 2014Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China119 cited

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  • 2001The Relative Importance of Management Fraud Risk Factors112 cited
  • 2017Predicting fraudulent financial reporting using artificial neural network109 cited
  • 2009The Impact of Academic Accounting Research on Professional Practice: An Analysis by the AAA Research Impact Task Force105 cited