Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis
Artificial intelligence (AI) and machine learning (ML) are two related technologies that are
emergent in financial scholarship. However, no review, to date, has offered a wholistic …
emergent in financial scholarship. However, no review, to date, has offered a wholistic …
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
KG Al-Hashedi, P Magalingam - Computer Science Review, 2021 - Elsevier
This paper gives a comprehensive revision of the state-of-the-art research in detecting
financial fraud from 2009 to 2019 inclusive and classifying them based on their types of …
financial fraud from 2009 to 2019 inclusive and classifying them based on their types of …
[HTML][HTML] Creating and detecting fake reviews of online products
Customers increasingly rely on reviews for product information. However, the usefulness of
online reviews is impeded by fake reviews that give an untruthful picture of product quality …
online reviews is impeded by fake reviews that give an untruthful picture of product quality …
[HTML][HTML] The role of artificial intelligence in achieving the Sustainable Development Goals
The emergence of artificial intelligence (AI) and its progressively wider impact on many
sectors requires an assessment of its effect on the achievement of the Sustainable …
sectors requires an assessment of its effect on the achievement of the Sustainable …
Deep learning for detecting financial statement fraud
P Craja, A Kim, S Lessmann - Decision Support Systems, 2020 - Elsevier
Financial statement fraud is an area of significant consternation for potential investors,
auditing companies, and state regulators. The paper proposes an approach for detecting …
auditing companies, and state regulators. The paper proposes an approach for detecting …
Financial fraud detection based on machine learning: a systematic literature review
Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently
become a widespread menace in companies and organizations. Conventional techniques …
become a widespread menace in companies and organizations. Conventional techniques …
Fraud detection in mobile payment systems using an XGBoost-based framework
P Hajek, MZ Abedin, U Sivarajah - Information Systems Frontiers, 2023 - Springer
Mobile payment systems are becoming more popular due to the increase in the number of
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …
Artificial intelligence and fraud detection
Fraud exists in all walks of life and detecting and preventing fraud represents an important
research question relevant to many stakeholders in society. With the rise in big data and …
research question relevant to many stakeholders in society. With the rise in big data and …
Intelligent fraud detection in financial statements using machine learning and data mining: a systematic literature review
MN Ashtiani, B Raahemi - Ieee Access, 2021 - ieeexplore.ieee.org
Fraudulent financial statements (FFS) are the results of manipulating financial elements by
overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses …
overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses …
Machine learning for financial risk management: a survey
Financial risk management avoids losses and maximizes profits, and hence is vital to most
businesses. As the task relies heavily on information-driven decision making, machine …
businesses. As the task relies heavily on information-driven decision making, machine …