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Crowdsourcing for click fraud detection
Published 2019-07-01“…In addition, ad networks are not able to monitor the user’s activity for click fraud detection once they are redirected to the advertising site after clicking the ad. …”
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Fraud detection gap between auditor and fraud detection models: evidence from gulf cooperation council
Published 2020“…This study investigates an auditor’s fraud detection gap (FDG) in Gulf Cooperation Council (GCC) companies by comparing the result of the fraud detection models (namely the Beneish M-score, Dechow F-score, and Altman Z-score) with an actual of audit opinion given by the auditors. …”
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Determinants of Auditors Ability in Fraud Detection
Published 2022-12-01Subjects: Get full text
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Data Mining Techniques in Fraud Detection
Published 2008-06-01“…We present some classification and prediction data mining techniques which we consider important to handle fraud detection. There exist a number of data mining algorithms and we present statistics-based algorithm,  decision tree-based algorithm and rule-based algorithm. …”
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Finance Fraud Detection With Neural Network
Published 2020-01-01“…In this paper, we put forward a fraud detection algorithm by using neural network. The neural network model and final result will be described to show the superiority of this model.…”
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Effectiveness of audit techniques in fraud detection.
Published 2013Get full text
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An Xgboost based system for financial fraud detection
Published 2020-01-01“…This paper proposed our fraud detection system for e- commerce merchant. Unlike many other works, this system combines manual and automatic classifications. …”
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Application of Data Mining for Card Fraud Detection
Published 2012-03-01“…This paper focuses on implementing Data Mining methods for card fraud detection. The approach to classification and prediction tasks for detection of unauthorized transactions is considered.…”
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Medicare fraud detection using neural networks
Published 2019-07-01“…With a minority class size of 0.03% and an opportunity to improve existing results, we use the Medicare fraud detection task to compare six deep learning methods designed to address the class imbalance problem. …”
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Fraud Detection in Meat Using Hyperspectral Imaging
Published 2021-10-01Subjects: Get full text
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Photoacoustic Laser System for Food Fraud Detection
Published 2021-06-01“…Building on the experience gained with CO<sub>2</sub> lasers, the Diagnostic and Metrology Laboratory of ENEA realized a compact and user-friendly photoacoustic laser system for food fraud detection, based on a quantum cascade laser. The sensor has been challenged with saffron adulteration. …”
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Privacy Intrusiveness in Financial-Banking Fraud Detection
Published 2021-06-01Subjects: “…fraud detection…”
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Auto Insurance Fraud Detection with Multimodal Learning
Published 2023-01-01“… ABSTRACTIn recent years, feature engineering-based machine learning models have made significant progress in auto insurance fraud detection. However, most models or systems focused only on structural data and did not utilize multi-modal data to improve fraud detection efficiency. …”
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Analysis Of Factors Influencing The Occupation Of Fraud Detection
Published 2023-05-01“…The findings show that Forensic Accounting has no effect on fraud detection. Investigative Audit Ability has a significant effect on fraud detection and Auditor Experience has a significant effect on Fraud Detection. …”
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Taxonomy of Fraud Detection Metrics for Business Processes
Published 2020-01-01Subjects: Get full text
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Measures to improve auditor efficiency in fraud detection.
Published 2008Get full text
Final Year Project (FYP) -
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Fraud Detection System For Rotor Pay Phone
Published 2007“…The system comprises of two sets of fraud detection modules; Anti Fraud Device 1 (AFD1) and Anti Fraud Device 2 (AFD2). …”
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Boosting Fraud Detection in Mobile Payment with Prior Knowledge
Published 2021-05-01Subjects: Get full text
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