Improving Credit Card Fraud Detection using a Meta-learning Strategy

Improving Credit Card Fraud Detection using a Meta-learning Strategy

Show other versions (1)

One of the issues facing credit card fraud detection systems is that a significant percentage of transactions labeled as fraudulent are in fact legitimate. These “false alarms” delay the detection of fraudulent transactions. Analysis of 11 months of credit card transaction data from a major Canadian...

Full description

Bibliographic Details
Main Author: Pun, Joseph King-Fung
Other Authors: Lawryshyn, Yuri Andrew
Language:en_ca
Published: 2011
Subjects:
data mining
credit card
meta-learning
artificial intelligence
algorithms
fraud detection
0800
Online Access:http://hdl.handle.net/1807/31396

Similar Items

Similar Items