Results 1 to 10 of about 2,870,976 (298)
CoDetect: Financial Fraud Detection With Anomaly Feature Detection
IEEE Access, 2018 Financial fraud, such as money laundering, is known to be a serious process of crime that makes illegitimately obtained funds go to terrorism or other criminal activity.
Dongxu Huang +3 more
doaj +3 more sources
Statistical Fraud Detection: A Review
Statistical Science, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David Hand
exaly +4 more sources
Current Research in Food Science, 2021 Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive.
Francis Butler +4 more
doaj +1 more source
Transformative Leadership, Locus Of Control On Fraud Detection And Environmental Performance
Jurnal Akuntansi, 2022 This study aims to determine the effect of transformative leadership, and locus of control on fraud detection with environmental performance as a moderating variable.
Agus Bandiyono
doaj +1 more source
Analysis Of Factors Influencing The Occupation Of Fraud Detection
Jurnal Akuntansi, 2023 This study analyzes the influence of Forensic Accounting, Investigative Audit Capability and Auditor Experience on Fraud Detection in the Perspective of BPK and Central BPKP Auditors.
Gen Norman Thomas, Lely Indriaty
doaj +1 more source
An Examination of the Usefulness of Fraud Detection Decision Aid in Assessment of Management Fraud Risk [PDF]
پژوهشهای تجربی حسابداری, 2012 purpose of this study is testing the usefulness of fraud detection decision aid in assessment of management fraud risk. First, based on literature was prepared fraud detection decision aid and the questionnaire contained, then 600 questionnaires were ...
Omid Pourheydari, Saeed Bazrafshan
doaj +1 more source
Intelligent financial fraud detection practices in post-pandemic era
The Innovation, 2021 The great losses caused by financial fraud have attracted continuous attention from academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus pandemic (COVID-19) unexpectedly shocks the global financial system and accelerates ...
Xiaoqian Zhu +6 more
doaj +1 more source
Fraud Detection Using the Fraud Triangle Theory and Data Mining Techniques: A Literature Review
Computers, 2021 Fraud entails deception in order to obtain illegal gains; thus, it is mainly evidenced within financial institutions and is a matter of general interest.
Marco Sánchez-Aguayo +2 more
doaj +1 more source
Data engineering for fraud detection [PDF]
Decision Support Systems, 2021 Abstract Financial institutions increasingly rely upon data-driven methods for developing fraud detection systems, which are able to automatically detect and block fraudulent transactions. From a machine learning perspective, the task of detecting suspicious transactions is a binary classification problem and therefore many techniques can be applied.
Baesens, Bart +2 more
openaire +3 more sources
Financial literacy and fraud detection [PDF]
The European Journal of Finance, 2019 Who is better at detecting fraud? This paper finds that more financially knowledgeable individuals have a higher propensity to detect fraud: a one standard deviation increase in financial knowledge...
Engels, C., Kumar, K., Philip, D.
openaire +2 more sources