[HTML][HTML] Financial fraud: a review of anomaly detection techniques and recent advances

W Hilal, SA Gadsden, J Yawney - Expert systems With applications, 2022 - Elsevier
With the rise of technology and the continued economic growth evident in modern society,
acts of fraud have become much more prevalent in the financial industry, costing institutions …

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

JW Goodell, S Kumar, WM Lim, D Pattnaik - Journal of Behavioral and …, 2021 - Elsevier
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 …

Deep learning for financial applications: A survey

AM Ozbayoglu, MU Gudelek, OB Sezer - Applied soft computing, 2020 - Elsevier
Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations

DA Hashimoto, E Witkowski, L Gao, O Meireles… - …, 2020 - pmc.ncbi.nlm.nih.gov
Artificial intelligence has been advancing in fields including anesthesiology. This sco**
review of the intersection of artificial intelligence and anesthesia research identified and …

A semi-supervised graph attentive network for financial fraud detection

D Wang, J Lin, P Cui, Q Jia, Z Wang… - … conference on data …, 2019 - ieeexplore.ieee.org
With the rapid growth of financial services, fraud detection has been a very important
problem to guarantee a healthy environment for both users and providers. Conventional …

An intelligent approach to credit card fraud detection using an optimized light gradient boosting machine

AA Taha, SJ Malebary - IEEE access, 2020 - ieeexplore.ieee.org
New advances in electronic commerce systems and communication technologies have
made the credit card the potentially most popular method of payment for both regular and …

Impact of business analytics and enterprise systems on managerial accounting

D Appelbaum, A Kogan, M Vasarhelyi, Z Yan - International journal of …, 2017 - Elsevier
The nature of management accountants' responsibility is evolving from merely reporting
aggregated historical value to also including organizational performance measurement and …

Credit card fraud detection using AdaBoost and majority voting

K Randhawa, CK Loo, M Seera, CP Lim… - IEEE access, 2018 - ieeexplore.ieee.org
Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to
credit card fraud every year. There is a lack of research studies on analyzing real-world …

Social big data: Recent achievements and new challenges

G Bello-Orgaz, JJ Jung, D Camacho - Information Fusion, 2016 - Elsevier
Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

Big data techniques in auditing research and practice: Current trends and future opportunities

A Gepp, MK Linnenluecke, TJ O'Neill… - Journal of Accounting …, 2018 - emerald.com
This paper analyses the use of big data techniques in auditing, and finds that the practice is
not as widespread as it is in other related fields. We first introduce contemporary big data …