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Demonstration of a Prototype for Credit Card Fraud Management: Demo

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Georgios PaliourasAuthors Info & Claims

DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems

Pages 335 - 338

https://doi.org/10.1145/3093742.3095096

Published: 08 June 2017 Publication History

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Abstract

Credit card fraud management is accomplished most of the times through an automated process. However, there are occasions when machines cannot evaluate the outcome of a given case with enough confidence, and therefore, human domain expertise must be used to settle those transactions. This demo paper presents the two dashboards developed for the European project SPEEDD, which have the goal to provide a better detection tool for fraud analysts, focusing mostly on fraud flagging reasons, visual display of the information, and usage of context and correlation between transactions, to help successfully closing fraud cases.

References

[1]

Elias Alevizos, Alexander Artikis, and Georgios Paliouras. 2017. Event Forecasting with Pattern Markov Chains. In 11th ACM International Conference on Distributed Event-Based Systems (DEBS).

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[2]

Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas de Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, and Izchak Sharfman. 2014. Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. 33, 3 (2014), 35--41.

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[3]

Alexander Artikis, Nikos Katzouris, Ivo Correia, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, and Georgios Paliouras. 2017. A Prototype for Credit Card Fraud Management. In 11th ACM International Conference on Distributed Event-Based Systems (DEBS).

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[4]

Ivo Correia, Fabiana Fournier, and Inna Skarbovsky. 2015. The uncertain case of credit card fraud detection. In Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems (DEBS). 181--192.

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Index Terms

Demonstration of a Prototype for Credit Card Fraud Management: Demo
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Data streaming

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Published In

DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems

June 2017

393 pages

ISBN:9781450350655

DOI:10.1145/3093742

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2017

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Extended-abstract
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Refereed limited

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DEBS '17

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DEBS '17: The 11th ACM International Conference on Distributed and Event-based Systems

June 19 - 23, 2017

Barcelona, Spain

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DEBS '17 Paper Acceptance Rate 22 of 60 submissions, 37%;

Overall Acceptance Rate 145 of 583 submissions, 25%

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Recommendations

A Prototype for Credit Card Fraud Management: Industry Paper

Data mining for credit card fraud: A comparative study

Credit Card Fraud Prediction Using XGBoost: An Ensemble Learning Approach