The role of diversity and ensemble learning in credit card fraud detection. [PDF]
Paldino GM +6 more
europepmc +1 more source
Comparison of Classification Algorithms used in Credit Card Fraud Detection
is one of the major ethical issues in the credit card industry. Various techniques are used to restrict these types of credit card frauds. Firstly, to detect the various types of credit card fraud, and, secondly, to review alternative techniques that ...
Kumar Shrivastava , Ankit +1 more
core
Adaptive Model for Credit Card Fraud Detection
While the flow of banking transactions is increasing, the risk of credit card fraud is becoming greater particularly with the technological revolution that we know, fraudulent are improve and always find new methods to deal with the preventive measures ...
Benabbou, Faouzia +2 more
core
Detecting credit card fraud by ANN and logistic regression
With the developments in information technology and improvements in communication channels, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed, these mechanisms
core +1 more source
Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection. [PDF]
Prabhakaran N, Nedunchelian R.
europepmc +1 more source
RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. [PDF]
Padhi BK +4 more
europepmc +1 more source
Towards a Better Credit Card Fraud Prevention Strategy in Indonesia
: For years, credit card fraud has been a major problem in the Indonesian payments system. Numerous efforts have been made to mitigate this payment crime.
Hendi Yogi Probowo (20279976)
core
Responding to credit & debit card fraud
While many companies choose not to hold victims responsible for unauthorized purchases, federal laws limit the amount that a cardholder is liable for. Credit card liability ends at $50 if the fraud is reported within 60 days of receiving the bill that
South Carolina Department of Consumer Affairs
core
Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS). [PDF]
Ahmad H +3 more
europepmc +1 more source
Credit Card Fraud Detection Using Symbolic Aggregate Approximation
In the current digital age, credit card fraud is a cybercrime that costs billions of dollars every year through fraudulent transactions. This study aims to identify fraudulent credit card transactions using Symbolic Aggregate Approximation (SAX) and ...
Araya, Feven B. +3 more
core +1 more source

