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41
Environment Uncertainty, Earnings Volatility and Their Role in Financial Statement Fraud?
Published 2025-01-01“…The practical implications emphasise the importance of closely monitoring earnings volatility by regulators and auditors as a preventive measure against financial fraud and strengthening internal control mechanisms and corporate governance to minimise the risk of financial statement manipulation.…”
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42
Problems in publication of results of scientific research, their visibility and possible frauds
Published 2019-01-01“…The main problems regarding mentioned activities which occur today are manifested in the emergence of numerous frauds in the form of plagiarism, autoplagiarism, false publications and predatory publications. …”
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43
Credit Card Fraud Detection through Parenclitic Network Analysis
Published 2018-01-01“…The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications. …”
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44
Some problems of investigating street fraud and the ways to solve them
Published 2018-12-01Subjects: “…fraud investigations…”
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45
Current state of scientific publishing: science, magic, business or fraud?
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46
A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning
Published 2025-01-01“…This research delves into the application of Federated Learning (FL) models for detecting fraud across different financial bodies. FL facilitates decentralized training of models using local data, ensuring privacy, crucial for handling sensitive financial data. …”
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47
The ripple effects of fraud on businesses: costs, reputational damage, and legal consequences
Published 2025-01-01“… Fraud poses a significant threat to companies, with detrimental impacts on their financial sustainability and reputation. ramifications. …”
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48
Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection
Published 2024-09-01Subjects: “…financial statement fraud…”
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49
Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms
Published 2024-06-01Subjects: “…Cloud-Security, Fraud-Detection, Fraud-Transaction, ML, Evaluation, Performance.…”
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50
Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria
Published 2025-03-01Subjects: Get full text
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51
Coming to Accounts: Fraud and Muckraking in Charles W. Chesnutt’s The Marrow of Tradition
Published 2013-11-01Subjects: Get full text
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52
Cyber security and need to change the model of monitoring fraud and financial crime
Published 2020-01-01Subjects: “…fraud…”
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53
Research of Technology Solutions and Operation Countermeasures to Telephone Fraud Prevention and Control
Published 2014-11-01Subjects: “…telephone fraud…”
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54
Identification of Accounting Fraud Based on Support Vector Machine and Logistic Regression Model
Published 2021-01-01“…Therefore, it is of great theoretical and practical significance to carry out the research on the identification and governance of accounting fraud. Traditionally, accounting fraud identification is mostly based on linear thinking to build the fraud identification model. …”
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55
The effect of political will, information technology, and the quality of financial reporting information on fraud prevention
Published 2025-01-01Subjects: Get full text
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56
Ad Click Fraud Detection Using Machine Learning and Deep Learning Algorithms
Published 2025-01-01Subjects: “…Click fraud…”
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57
Personal, environmental and behavioral predictors associated with online fraud victimization among adults.
Published 2025-01-01“…This study aimed to identify the predictors for online fraud victimization focusing on Personal, Environment and Behavior (PEB).…”
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58
SISTEMA DE COTAS E FRAUDES EM UMA UNIVERSIDADE FEDERAL BRASILEIRA
Published 2020-06-01Subjects: “…Cursos de alto prestígio; sistema de cotas; subcotas Étnico-raciais; fraudes; mulheres pretas.…”
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59
Corporate Governance and its Role in Performance Improvement and Reducing Fraud in Islamic Banking
Published 2023-06-01Subjects: Get full text
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60
Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection
Published 2024-11-01“…Dataset analysis needs to be carried out to analyze the history of transactions that have been carried out. In the fraud detection dataset, it can be seen that there are attributes that cause data imbalance. …”
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