Results 171 to 180 of about 2,333 (216)
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On XCSR for electronic fraud detection
Evolutionary Intelligence, 2012Fraud 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
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Detecting Fraud in Financial Reports
2012 European Intelligence and Security Informatics Conference, 2012Fraud 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
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Process and Detection in Fraud and Deceit
Ethics & Behavior, 1994There 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 ...
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Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection
Proceedings of the 31st ACM International Conference on Multimedia, 2023Jinzhang Hu +8 more
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Fraud Detection and Forensic Accounting
2012A 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
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Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Expert Systems With Applications, 2022John Yawney +2 more
exaly
Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review
Applied Sciences (Switzerland), 2022Siti Hajar Othman +2 more
exaly
FRAUD DETECTION DEVICE, FRAUD DETECTION METHOD, AND FRAUD DETECTION PROGRAM
2022OKUDA MINORU, YOSHINAGA NAOKI
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Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
Computer Science Review, 2021Pritheega Magalingam
exaly

