信用卡诈骗管理的原型演示:演示

Ivo Correia, A. Artikis, Nikos Katzouris, Chris Baber, Natan Morar, Inna Skarbovsky, Fabiana Fournier, G. Paliouras
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引用次数: 1

摘要

大多数情况下,信用卡欺诈管理是通过自动化流程完成的。然而,在某些情况下,机器无法以足够的信心评估给定情况的结果,因此,必须使用人类领域的专业知识来解决这些事务。本演示文件介绍了为欧洲项目SPEEDD开发的两个仪表板,其目标是为欺诈分析人员提供更好的检测工具,主要关注欺诈标记原因、信息的可视化显示以及上下文和交易之间相关性的使用,以帮助成功结案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstration of a Prototype for Credit Card Fraud Management: Demo
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.
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