Detection and prevention of financial abuse against elders [PDF]
This article is made available through the Brunel Open Access Publishing Fund. Copyright @ The Authors. This article is published under the Creative Commons Attribution (CC BY 3.0) licence.
Gilhooly, KJ +16 more
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Machine Learning Algorithms in Fraud Detection: Case Study on Retail Consumer Financing Company [PDF]
This study aims to implement a machine learning algorithm in detecting fraud based on historical data set in a retail consumer financing company. The outcome of machine learning is used as samples for the fraud detection team.
Ramadhan, Dona +2 more
core +1 more source
An Introduction to Machine Learning Methods for Fraud Detection
Financial fraud represents a critical global challenge with substantial economic and social consequences. This comprehensive review synthesizes the current knowledge on machine learning approaches for financial fraud detection, examining their ...
Antonio Alessio Compagnino +6 more
doaj +1 more source
Beneish Model: Detection of Indications of Financial Statement Fraud Using CEO Characteristics
The study aims to analyze the influence of CEO characteristic factors on indications of financial statement fraud using the Beneish Model. Based on the upper echelon theory, this study proposes six hypotheses which are tested using logistic regression ...
Carolina, Anita, Masruroh, Siti
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Strengthening Integrity and Fraud Awareness in Preventing Fraud During the Covid-19 Pandemic [PDF]
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
core +1 more source
From Traditional Methods to Machine Learning: The Evolution of Fraud Detection in Auditing with New Technologies [PDF]
Fraudulent financial reporting is a global issue with significant negative consequences for all stakeholders. However, detecting fraud remains challenging due to its subjective nature.
Zahra Taheri +2 more
doaj +1 more source
Finding Misstatement Accounts in Financial Statements Through Ontology Reasoning
Finding misstatement accounts in financial statements, is a key problem of fraud detection. Potential applications include external audit, internal controls, investment decision and securities market regulation. However, most existing intelligent methods
Liming Chen, Baoxin Xiu, Zhaoyun Ding
doaj +1 more source
Predictability of financial statements fraud-risk using Benford’s Law
The main objective of this research is to investigate the Predictability of Financial Statements Fraud-Risk Using Benford’s Law on the Tehran Stock Exchange.
Mehdi Rad +3 more
doaj +1 more source
AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review
Rapid advancements in digital innovation and globalization has significantly increased the complexity of financial networks, making them more vulnerable to fraud.
Nusrat Jahan Sarna +6 more
doaj +1 more source
THE METHOD OF BEHAVIOUR DETECTION ON MORAL HAZARD IN FINANCIAL STATEMENT
The purpose of this study is to detect fraud or moral hazard on the financial statements that prepared by the company. This research uses financial ratio analysis to detect financial fraud and moral hazard.
Fitri Ismiyanti
doaj +1 more source

