Results 31 to 40 of about 274,113 (349)
How the detection of insurance fraud succeeds and fails. [PDF]
, 2006 Insurance fraud is a serious and growing problem, and there is widespread recognition that traditional approaches to tackling fraud are inadequate. Studies of insurance fraud have typically focused upon identifying characteristics of fraudulent claims ...
Ball, L.J., Morley, N.J., Ormerod, T.C.
core +4 more sources
ECONOMICS, 2020 Fraud is not an individual problem, but rather, we deal with a systematic fraud, particularly in the public sector through the creation of a private monopoly over public sector. Therefore, the first step, which needs to be set in organization in order to
Todorović Zdravko +2 more
doaj +1 more source
Strengthening Integrity and Fraud Awareness in Preventing Fraud During the Covid-19 Pandemic [PDF]
, 2022 The Covid-19 pandemic has impacted almost all socio-economic and business aspects. Changes in interaction patterns and a decrease in income lead to a higher potential for fraud risk.
Ramadhan, Dona
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Pengaruh Faktor-Faktor Fraud Triangle Terhadap Financial Statement Fraud
Jurnal ASET (Akuntansi Riset), 2019 . The purpose of this study is investigate the effect of fraud triangle factors on financial statement fraud using Beneish M-Score to the manufacturing company listed on the Stock Exchange in 2016-2017.
Dhea Violin Rahma, Elly Suryani
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
The Implementation of Fraud Risk Assessment and Anti-Fraud Strategy in Government Institution XYZ [PDF]
, 2022 Government Institution XYZ is one of the government institutions trying to build bureaucratic reform and minimize fraud risk. This study attempted to conduct a fraud risk assessment to identify, analyze, evaluate, and determine appropriate anti-fraud ...
Wibowo, Teguh +1 more
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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
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Graph-based models have been widely used to fraud detection tasks. Owing to the development of Graph Neural Networks~(GNNs), recent works have proposed many GNN-based fraud detectors based on either homogeneous or heterogeneous graphs.
Zhiwei Liu +4 more
semanticscholar +1 more source
Credit card fraud and detection techniques: a review [PDF]
, 2009 Fraud is one of the major ethical issues in the credit card industry. The main aims are, firstly, to identify the different types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection.
Abdou, Hussein +8 more
core +4 more sources