Results 41 to 50 of about 5,725,522 (200)

NLP Sentiment Analysis and Accounting Transparency: A New Era of Financial Record Keeping

open access: yesComputers, 2023
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent.
Alessio Faccia   +2 more
doaj   +1 more source

Beneish Model: Detection of Indications of Financial Statement Fraud Using CEO Characteristics [PDF]

open access: yes, 2022
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   +3 more
core   +1 more source

An Introduction to Machine Learning Methods for Fraud Detection

open access: yesApplied Sciences
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

FraudGraph-X: A Multimodal Graph Neural Framework for Behavioral Fraud Detection [PDF]

open access: yesITM Web of Conferences
The complexity and volume of transactional data has expanded due to the rapid growth of digital financial services, which has opened the door to new types of sophisticated fraud.
Yatoo Nuzhat Ahmad   +3 more
doaj   +1 more source

A Survey of Automated Financial Statement Fraud Detection with Relevance to the South African Context

open access: yesSouth African Computer Journal, 2020
Financial statement fraud has been on the increase in the past two decades and includes prominent scandals such as Enron, WorldCom and more recently in South Africa, Steinhoff.
Wilson Tsakane Mongwe   +1 more
doaj   +1 more source

ATOVis – A visualisation tool for the detection of financial fraud

open access: yesInformation Visualization, 2022
Fraud detection is related to the suppression of possible financial losses for institutions and their clients. It is a task of high responsibility and, therefore, an important phase of the decision-making chain. Nowadays, experts in charge base their analysis on tabular data, usually presented in spreadsheets and seldom supplemented with simple ...
Catarina Maçãs   +2 more
openaire   +1 more source

Fraud Pentagon in Detecting Financial Statement Fraud

open access: yesJournal of Multiperspectives on Accounting Literature
Purpose: This study aims to prove the influence of the fraud pentagon on the existence of fraudulent financial statements. Methodology/approach: This research approach is quantitative with secondary data in the form of company annual reports in the manufacturing sector with the food & beverage sub-sector listed on the IDX for the 2016-2020 ...
Ruci Arizanda Rahayu   +3 more
openaire   +2 more sources

Intelligent Fraud Detection in Financial Statements Using Machine Learning and Data Mining: A Systematic Literature Review

open access: yesIEEE Access, 2022
Fraudulent financial statements (FFS) are the results of manipulating financial elements by overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses.
Matin N. Ashtiani, Bijan Raahemi
doaj   +1 more source

Finding Misstatement Accounts in Financial Statements Through Ontology Reasoning

open access: yesIEEE Access
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

AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review

open access: yesIEEE Access
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

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