Cost-Sensitive Decision Making for Online Fraud Management - Artificial Intelligence Applications and Innovations (AIAI 2018) Access content directly
Conference Papers Year : 2018

Cost-Sensitive Decision Making for Online Fraud Management

Mehmet Yigit Yildirim
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Mert Ozer
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Hasan Davulcu
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Abstract

Every online transaction comes with a risk and it is the merchant’s liability to detect and stop fraudulent transactions. Merchants utilize various mechanisms to prevent and manage fraud such as automated fraud detection systems and manual transaction reviews by expert fraud analysts. Many proposed solutions mostly focus on fraud detection accuracy and ignore financial considerations. Also, highly effective manual review process is overlooked. We propose Profit Optimizing Neural Risk Manager (PONRM), a decision maker that (a) constitutes optimal collaboration between machine learning models and human expertise under industrial constraints, (b) is cost and profit sensitive. We suggest directions on how to characterize fraudulent behavior and assess the risk of a transaction. We show that our framework outperforms cost-sensitive and cost-insensitive baselines on three real-world merchant datasets.
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hal-01821053 , version 1 (22-06-2018)

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Mehmet Yigit Yildirim, Mert Ozer, Hasan Davulcu. Cost-Sensitive Decision Making for Online Fraud Management. 14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.323-336, ⟨10.1007/978-3-319-92007-8_28⟩. ⟨hal-01821053⟩
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