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On XCSR for electronic fraud detection

Evolutionary Intelligence, 2012
Fraud is a serious problem that costs the worldwide economy billions of dollars annually. However, fraud detection is difficult as perpetrators actively attempt to mask their actions, among typically overwhelming large volumes of, legitimate activity. In this paper, we investigate the fraud detection problem and examine how learning classifier systems ...
Mohammad Behdad   +3 more
openaire   +1 more source

Detecting Fraud in Financial Reports

2012 European Intelligence and Security Informatics Conference, 2012
Fraud in public companies has a large financialimpact, and yet is only weakly detected by those who look for it, many incidents have been detected only when whistleblowers have come forward. We examine the problem of detecting fraud from the textual component of the quarterly and annual reports that public companies are required to file.
David B. Skillicorn, Lynnette D. Purda
openaire   +1 more source

Process and Detection in Fraud and Deceit

Ethics & Behavior, 1994
There has been considerable interest recently in scientific misconduct. Although much has been written and discussed about specific cases, very little, if any, research has been carried out on the process of fraud. An understanding of this aspect can contribute much to methods of detection and lead to recommendations for preventing misconduct and for ...
openaire   +2 more sources

Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection

Proceedings of the 31st ACM International Conference on Multimedia, 2023
Jinzhang Hu   +8 more
openaire   +1 more source

Fraud Detection and Forensic Accounting

2012
A quick search for the meaning of fraud in the dictionary states that fraud is “deceit, impersonation with intent to deceive, criminal deception done with the intention of gaining an advantage.” The Institute of Turkish History explains the word fraud as “a deceptive trick, scam, game, artifice, cabal which is committed to cheat, mislead someone” and ...
Fatma Ulucan Özkul, Ayşe Pamukçu
openaire   +2 more sources

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

Expert Systems With Applications, 2022
John Yawney   +2 more
exaly  

Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review

Applied Sciences (Switzerland), 2022
Siti Hajar Othman   +2 more
exaly  

A systematic review on forensic accounting and its contribution towards fraud detection and prevention

Journal of Financial Regulation and Compliance, 2023
Baljinder Kaur, Simon Grima
exaly  

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