[HTML][HTML] Financial fraud: a review of anomaly detection techniques and recent advances
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 …
acts of fraud have become much more prevalent in the financial industry, costing institutions …
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 …
Machine learning: new ideas and tools in environmental science and engineering
The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …
in the field of environmental science and engineering (ESE) demands accompanied …
Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …
been remarkable. Deep learning, in particular, has been extensively used to drive …
On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services
The financial services industry has been experiencing the recent emergence of new
technology innovations and process disruptions. The industry overall, and many fintech start …
technology innovations and process disruptions. The industry overall, and many fintech start …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Electricity theft detection in smart grid systems: A CNN-LSTM based approach
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
Credit card fraud detection using machine learning techniques: A comparative analysis
JO Awoyemi, AO Adetunmbi… - … and informatics (ICCNI), 2017 - ieeexplore.ieee.org
Financial fraud is an ever growing menace with far consequences in the financial industry.
Data mining had played an imperative role in the detection of credit card fraud in online …
Data mining had played an imperative role in the detection of credit card fraud in online …
Fraud detection system: A survey
The increment of computer technology use and the continued growth of companies have
enabled most financial transactions to be performed through the electronic commerce …
enabled most financial transactions to be performed through the electronic commerce …
Survey on anomaly detection using data mining techniques
In the present world huge amounts of data are stored and transferred from one location to
another. The data when transferred or stored is primed exposed to attack. Although various …
another. The data when transferred or stored is primed exposed to attack. Although various …