A survey of ensemble learning: Concepts, algorithms, applications, and prospects
Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …
machine learning applications by combining the predictions from two or more base models …
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
The increasing spread of cyberattacks and crimes makes cyber security a top priority in the
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …
[HTML][HTML] An ensemble learning approach for anomaly detection in credit card data with imbalanced and overlapped classes
Electronic payment methods have become increasingly popular for business transactions,
both online and in-person, across the globe. Anomalies like online fraud and default …
both online and in-person, across the globe. Anomalies like online fraud and default …
Enhancing credit card fraud detection: an ensemble machine learning approach
In the era of digital advancements, the escalation of credit card fraud necessitates the
development of robust and efficient fraud detection systems. This paper delves into the …
development of robust and efficient fraud detection systems. This paper delves into the …
Hybrid undersampling and oversampling for handling imbalanced credit card data
Recent developments in the use of credit cards for a range of daily life activities have
increased credit card fraud and caused huge financial losses for individuals and financial …
increased credit card fraud and caused huge financial losses for individuals and financial …
Credit card fraud detection: A hybrid of PSO and K-means clustering unsupervised approach
N Sharma, V Ranjan - … on Cloud Computing, Data Science & …, 2023 - ieeexplore.ieee.org
With the rise of the internet and online shopping, the use of credit cards for online purchases
skyrocketed and so did the incidents of online financial frauds. In the year 2018 alone, 24.26 …
skyrocketed and so did the incidents of online financial frauds. In the year 2018 alone, 24.26 …
Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities
OA Bello, K Olufemi - Computer Science & IT Research Journal, 2024 - fepbl.com
Fraud prevention is a critical challenge for financial institutions, businesses, and
governments worldwide. The rise of digital transactions and complex financial systems has …
governments worldwide. The rise of digital transactions and complex financial systems has …
An analytical approach to fraudulent credit card transaction detection using various machine learning algorithms
Technology and the revolution in communication have increased the popularity of digital
money usage. Most of the monetary transactions currently take place digitally. It is more …
money usage. Most of the monetary transactions currently take place digitally. It is more …
Financial Fraud Detection Using Value-at-Risk with Machine Learning in Skewed Data
The significant losses that banks and other financial organizations suffered due to new bank
account (NBA) fraud are alarming as the number of online banking service users increases …
account (NBA) fraud are alarming as the number of online banking service users increases …
Development of an efficient machine learning algorithm for reliable credit card fraud identification and protection systems
K Maithili, TS Kumar, R Subha… - MATEC Web of …, 2024 - matec-conferences.org
Recent developments in e-commerce and e-payment systems have led to a rise in financial
fraud incidents, particularly credit card fraud. Software tools to identify credit card theft are …
fraud incidents, particularly credit card fraud. Software tools to identify credit card theft are …