Cost-sensitive thresholding over a two-dimensional decision region for fraud detection

DOI10.1016/J.INS.2023.119956MaRDI QIDQ6179994

Ricardo Cao, Juan Manuel Vilar, Jorge C-Rella

Publication date: 18 January 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

risk analysisthresholdingfraud detectioncost-sensitive classificationdecision regioninstance-dependent classification

Mathematics Subject Classification ID

Credit risk (91G40)

Cites Work

• Development and application of consumer credit scoring models using profit-based classification measures
• Cost-sensitive boosting algorithms: do we really need them?
• A comparison of neural networks and linear scoring models in the credit union environment
• A decision-theoretic generalization of on-line learning and an application to boosting
• Neural network credit scoring models
• Instance-dependent cost-sensitive learning for detecting transfer fraud
• Differentiating between good credits and bad credits using neuro-fuzzy systems

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