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A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes
11 references·1 citing·36 second hop
A framework for Internal Fraud Risk Reduction at IT Integrating Business Processes (2009)A framework for Internal Fraud Risk Reduc…Fraud Auditing and Forensic Accounting (2010)Fraud Auditing and Forensic A…Applying manufacturing batch techniques to fraud detection with incomplete customer information (2007)Applying manufacturing batch …A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud (2007)A genetic algorithm approach …Subscription fraud prevention in telecommunications using fuzzy rules and neural networks (2005)Subscription fraud prevention…Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks (2005)Data mining, fraud detection …A process-mining framework for the detection of healthcare fraud and abuse (2005)A process-mining framework fo…Principles of Fraud Examination (2004)Principles of Fraud Examinati…Understanding the potential impact of information technology on the susceptibility of organizations to fraudulent employee behavior (2003)Understanding the potential i…A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)A fuzzy neural network for as…A rule-based fuzzy reasoning system for assessing the risk of management fraud (1998)A rule-based fuzzy reasoning …Assessing the Risk of Management Fraud Through Neural Network Technology. (1997)Assessing the Risk of Managem…Prediction of Financial Statement Fraud using Machine Learning Techniques in UAE (2021)Prediction of Financial State…Fuzzy sets (1965)Fuzzy sets (1996)Decision support systems and intelligent systems (1997)Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China (2014)User profiling and classification for fraud detection in mobile communications networks (2000)A Framework for Internal Fraud Risk Reduction at IT Integrating Business Processes: The IFR² Framework (2009)Fraud/Uncollectible Debt Detection Using a Bayesian Network Based Learning System: A Rare Binary Outcome with Mixed Data Structures (2013)An Integrated LSTM Neural Networks Approach to Sustainable Balanced Scorecard-Based Early Warning System (2020)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)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Turning telecommunications call details to churn prediction: a data mining approach (2002)A data mining framework for detecting subscription fraud in telecommunication (2010)Combined rough set theory and flow network graph to predict customer churn in credit card accounts (2010)A knowledge based scheme for risk assessment in loan processing by banks (2016)Introduction to Statistical Quality Control (1992)Multivariate SPC Charts for Monitoring Batch Processes (1995)Introduction to Statistical Quality Control (2001)Workload and Delay Analysis in Manufacturing Process Using Process Mining (2015)A business process mining application for internal transaction fraud mitigation (2011)Fraud Triangle Theory and Fraud Diamond Theory. Understanding the Convergent and Divergent For Future Research (2015)Deep learning for detecting financial statement fraud (2020)Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques (2002)Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction (2016)An Investigation of Fraud in Nonprofit Organizations: Occurrences and Deterrents (2007)The role of auditing in the fight against corruption (2018)Anti-corruption, transparency and accountability in health: concepts, frameworks, and approaches (2020)Using the artificial neural network to predict fraud litigation: Some empirical evidence from emerging markets (2007)A Framework for Internal Fraud Risk Reduction at IT Integrating Business Processes, The IFR² Framework (2010)Exception Prioritization in the Continuous Auditing Environment: A Framework and Experimental Evaluation (2015)Process mining techniques: an application to stroke care. (2008)On mining clinical pathway patterns from medical behaviors (2012)
this work references cited by second hop

References

  • 2010Fraud Auditing and Forensic Accounting495 cited
  • 2005A process-mining framework for the detection of healthcare fraud and abuse258 cited
  • 1997Assessing the Risk of Management Fraud Through Neural Network Technology.244 cited
  • 2004Principles of Fraud Examination224 cited
  • 2003A fuzzy neural network for assessing the risk of fraudulent financial reporting219 cited
  • 2005Subscription fraud prevention in telecommunications using fuzzy rules and neural networks101 cited
  • 2007A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud84 cited
  • 1998A rule-based fuzzy reasoning system for assessing the risk of management fraud61 cited
  • 2005Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks37 cited
  • 2007Applying manufacturing batch techniques to fraud detection with incomplete customer information31 cited
  • 2003Understanding the potential impact of information technology on the susceptibility of organizations to fraudulent employee behavior30 cited

Cited by

  • 2021Prediction of Financial Statement Fraud using Machine Learning Techniques in UAE13 cited

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