图形网络 - 利用图形可视化进行10倍调查
Detecting fraud schemes used to require investigations using large amounts and varying types of data that come from many different anti-fraud systems. Investigators then need to combine the different types of data and use statistical methods to uncover suspicious claims, which is time consuming and inefficient in most cases.
检测欺诈计划过去需要使用来自许多不同反欺诈系统的大量和不同类型的数据进行调查。然后,调查人员需要将不同类型的数据结合起来,并使用统计方法来发现可疑的索赔,这在大多数情况下是费时且低效的。
We are always looking for ways to improve fraud investigation methods and stay one step ahead of our ever-growing fraudsters. In the introductory blog of this series, we’ve mentioned experimenting with a set of Graph Network technologies, including Graph Visualisation.
我们一直在寻找改进欺诈调查方法的方法,并在我们不断增长的欺诈者面前保持领先一步。在这个系列的介绍性博客中,我们已经提到了对一套图谱网络技术的实验,包括图谱可视化。
In this post, we will introduce our Graph Visualisation Platform and briefly illustrate how it makes fraud investigations easier and more effective.
在这篇文章中,我们将介绍我们的图形可视化平台,并简要说明它是如何使欺诈调查变得更容易和更有效的。
Why visualise a graph?
为什么要将图表可视化?
If you’re a fan of crime shows, you would have come across scenes like a detective putting together evidence, such as pictures, notes and articles, on a board and connecting them with thumb tacks and yarn. When you look at the board, it’s easy to see the relationships between the different pieces of evidence. That’s what graphs do, especially in fraud detection.
如果你是犯罪节目的粉丝,你会遇到这样的场景:一个侦探把证据,如图片、笔记和文章,放在一块板子上,用拇指大头针和纱线把它们连接起来。当你看着黑板时,很容易就能看到不同证据之间的关系。这就是图表的作用,特别是在欺诈侦查中。
In the same way, while graph data is the raw material of an investigation, some of the most interesting relationships are often inferred rather than modelled directly in the data. Visualising these relationships can give a unique “big picture” of the data that is difficult or impossible to obtain with traditional relational tables and business intelligence tools.
同样,虽然图形数据是调查的原材料,但一些最有趣的关系往往是推断出来的,而不是直接在数据中建模。将这些关系可视化可以提供一个独特的数据 "大画面",而这是传统的关系表和商业智能工具难以或无法获得的。
On the other hand, graph visualisation enhances the quick identification of relationships and significa...