Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Neural Data Mining for Credit Card Fraud Detection
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Off-the-peg and bespoke classifiers for fraud detection
Computational Statistics & Data Analysis
Transaction aggregation as a strategy for credit card fraud detection
Data Mining and Knowledge Discovery
Nearest-neighbor-based approach to time-series classification
Decision Support Systems
Employing transaction aggregation strategy to detect credit card fraud
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper we present the framework for a hybrid model for plastic card fraud detection systems. The proposed data-customised approach combines elements of supervised and unsupervised methodologies aiming to compensate for the individual deficiencies of the methods. We demonstrate the ability of the hybrid model to identify fraudulent activity on the real debit card transaction data. We also explore the model's efficiency against that of the existing monitoring system of the collaborating bank, using appropriate performance assessment criteria.