A Prototype for Credit Card Fraud Management-Reference-Cited by-同舟云学术

A Prototype for Credit Card Fraud Management

Published:2017-06-08 Issue: Volume: Page:
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Container-title:Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems
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Author:

Artikis Alexander¹,Katzouris Nikos²,Correia Ivo³,Baber Chris⁴,Morar Natan⁴,Skarbovsky Inna⁵,Fournier Fabiana⁵,Paliouras Georgios²

Affiliation:

1. University of Piraeus and NCSR Demokritos

2. NCSR Demokritos, Athens, Greece

3. Feedzai Lisbon, Portugal

4. University of Birmingham, UK

5. IBM Research, Haifa, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3093742.3093912

Reference37 articles.

1. R. Aitken. 2016. U.S. Card Fraud Losses Could Exceed 12B USD By 2020. Forbes. (2016). http://www.forbes.com/sites/rogeraitken/2016/10/26/us-card-fraud-losses-could-exceed-12bn-by-2020/. R. Aitken. 2016. U.S. Card Fraud Losses Could Exceed 12B USD By 2020. Forbes. (2016). http://www.forbes.com/sites/rogeraitken/2016/10/26/us-card-fraud-losses-could-exceed-12bn-by-2020/.

2. REAL-TIME COMPLEX EVENT RECOGNITION AND REASONING–A LOGIC PROGRAMMING APPROACH

3. Scalable Proactive Event-Driven Decision Making

4. A. Artikis O. Etzion Z. Feldman and F. Fournier. 2012. Event processing under uncertainty. In ACM DEBS. 32--43. 10.1145/2335484.2335488 A. Artikis O. Etzion Z. Feldman and F. Fournier. 2012. Event processing under uncertainty. In ACM DEBS. 32--43. 10.1145/2335484.2335488

5. Logic-based event recognition

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