[HTML][HTML] Credit card fraud detection in the era of disruptive technologies: A systematic review
Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …
of innovative technologies and communication methods, such as contactless payment. In …
Survey on exact knn queries over high-dimensional data space
k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
Cost-sensitive semi-supervised selective ensemble model for customer credit scoring
J Xiao, X Zhou, Y Zhong, L Xie, X Gu, D Liu - Knowledge-Based Systems, 2020 - Elsevier
Only a few customers can be labeled in realistic credit-scoring problems, while many other
customers cannot. Further, satisfactory performance is difficult, as traditional supervised …
customers cannot. Further, satisfactory performance is difficult, as traditional supervised …
Big data analytics for credit card fraud detection using supervised machine learning models
Purpose: This chapter aims to examine machine learning (ML) models for predicting credit
card fraud (CCF). Need for the study: With the advance of technology, the world is …
card fraud (CCF). Need for the study: With the advance of technology, the world is …
Detection of fraudulent transactions in credit card using machine learning algorithms
PK Sadineni - 2020 Fourth International Conference on I …, 2020 - ieeexplore.ieee.org
Today we are living in a digital world where most of the activities performed are online.
Fraud transactions are ever growing since the growth of ecommerce applications. Millions of …
Fraud transactions are ever growing since the growth of ecommerce applications. Millions of …
Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications
Abstract The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved
into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT) …
into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT) …
Credit card fraud detection by modelling behaviour pattern using hybrid ensemble model
The fraud detection system in banking organisation relies on data-driven approach to
identify the fraudulent transactions. In real time, detection of each and every fraudulent …
identify the fraudulent transactions. In real time, detection of each and every fraudulent …
A heterogeneous ensemble learning model based on data distribution for credit card fraud detection
Y Xie, A Li, L Gao, Z Liu - Wireless Communications and …, 2021 - Wiley Online Library
Credit card fraud detection (CCFD) is important for protecting the cardholder's property and
the reputation of banks. Class imbalance in credit card transaction data is a primary factor …
the reputation of banks. Class imbalance in credit card transaction data is a primary factor …
Mobile money fraud prediction—a cross-case analysis on the efficiency of support vector machines, gradient boosted decision trees, and naïve bayes algorithms
FE Botchey, Z Qin, K Hughes-Lartey - Information, 2020 - mdpi.com
The onset of COVID-19 has re-emphasized the importance of FinTech especially in
developing countries as the major powers of the world are already enjoying the advantages …
developing countries as the major powers of the world are already enjoying the advantages …
LAW: Learning automatic windows for online payment fraud detection
The rapid development of internet finance has caused increasing concern in online payment
fraud due to its great threat. It is typical to employ rule systems or machine learning-based …
fraud due to its great threat. It is typical to employ rule systems or machine learning-based …