Results 41 to 50 of about 5,553 (160)

Predictability of financial statements fraud-risk using Benford’s Law

open access: yesCogent Economics & Finance, 2021
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

A Review of Artificial Intelligence for Financial Fraud Detection

open access: yesApplied Sciences
Financial fraud has expanded rapidly with the growth of the digital economy, evolving from conventional transactional misconduct to more complex and data-intensive forms. Traditional rule-based detection methods are increasingly inadequate for addressing
Haiquan Yang   +2 more
doaj   +1 more source

A Visualization Approach for Frauds Detection in Financial Market [PDF]

open access: yes2009 13th International Conference Information Visualisation, 2009
The traditional solutions to the stock market security are not sufficient in identifying attackers and further attack plans from the analysis of existing events.Therefore, it is difficult for analysts to prevent future unexpected events or frauds by only monitoring the realtime trading information.
Mao Lin Huang   +2 more
openaire   +1 more source

Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
The relationships within a supply chain are crucial for analyzing business transactions and can reveal significant patterns in disclosed financial data. These relationships also aid in the assessment and detection of financial fraud.
Shanshan Zhu   +6 more
doaj   +1 more source

Detecting Fraud In Financial Data Sets

open access: yesJournal of Business & Economics Research (JBER), 2010
<p class="MsoBlockText" style="margin: 0in 0.5in 0pt 35.4pt; mso-pagination: none;"><span style="font-style: normal; color: black; mso-themecolor: text1; mso-bidi-font-style: italic;" lang="EN-GB"><span style="font-size: x-small;"><span style="font-family: Times New Roman;">An important neef of corporations for internal audits ...
openaire   +5 more sources

MORPHIC COMPUTING WITH MACHINE LEARNING FOR ENHANCED FRAUD DETECTION IN FINANCIAL APPLICATIONS [PDF]

open access: yesICTACT Journal on Soft Computing
As financial fraud becomes increasingly complex, traditional detection methods struggle to keep pace, resulting in substantial financial losses globally.
N.P. Ponnuviji, M. Vigilson Prem
doaj   +1 more source

Financial Fraud Detection with Entropy Computing

open access: yesCoRR
15 pages including references and appendix, 6 ...
Babak Emami   +5 more
openaire   +2 more sources

Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions

open access: yesIntelligent Computing
Financial fraud detection is an important task in ensuring the integrity and security of financial systems. In recent years, it has been shown that graph learning, which utilizes the relational structure of data, can considerably enhance the detection of
Enxia Li   +3 more
doaj   +1 more source

FRAUD DETECTION OF FINANCIAL STATEMENTS WITH DIAMOND FRAUD ANALYSIS

open access: yesJurnal ASET (Akuntansi Riset), 2022
This study aims to empirically test the detection of financial statement fraud using Fraud Diamond analysis which explains the factors that influence the occurrence of fraud. The population in this study is the infrastructure, utility, and transportation sector companies listed on the Indonesia Stock Exchange in 2016 – 2019 with a total of 83 companies.
Deliana, Deliana, Oktalia, Ruth Rebecca
openaire   +2 more sources

An analytical assessment of credit card fraud detection techniques: Supervised, Unsupervised, and Reinforcement Learning

open access: yesВестник Дагестанского государственного технического университета: Технические науки
Objective. Bank card fraud is an increasingly serious problem for individuals, businesses and financial institutions. There is a need for effective fraud detection measures to protect consumers and businesses from financial losses. Method.
Abdourahman Djamal Djama
doaj   +1 more source

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