A Data Science Central Community
ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their behaviors, the key element in the fight against fraud is now to draw on the connections within the data collected to uncover fraudulent behaviors. In this post we explain why and how graph technologies are crucial in the detection of eCommerce fraud.…
Added by Elise Devaux on August 9, 2017 at 9:30am — No Comments
Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because they’re fairly small, no one would want to try to steal the customer information they collect. After all, why go after a few thousand customer records when you could attack a large corporation and potentially walk away with tens of…Continue
Added by Peter Davidson on April 17, 2017 at 6:00am — No Comments
Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities. For the purpose of this article we have worked with Ralf Becher, irregular.bi. Ralf is Qlik Luminary and he provides solutions to integrate the Graph approach into Business Intelligence solutions like QlikView and Qlik Sense.
Third party fraud occurs when a…Continue
The application of network analysis to the growing challenge of fraud and financial crime is a fast emerging advanced data analytics frontier. As any good fraud investigation knows, fraud and financial crime are as much…Continue
Added by Scott Mongeau on July 10, 2014 at 1:01pm — No Comments
Here is the preface for Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
By Eric Siegel, with a foreword from Tom Davenport
(Wiley, February 2013)
To order the book:…
Added by Eric Siegel on February 8, 2013 at 6:30am — No Comments
There are four key data visualization techniques used by data analysis pros in the government and local law enforcement. As financial institutions, e-commerce organizations and social network analysts begin to apply data visualization more frequently, these techniques will help guide the process of uncovering meaningful insights hidden within mountains of disparate data. This post focuses on advanced data visualization using relationship graphs.
In our last post…Continue
For quite some time, Intelligence Analysts in key government agencies have used these four techniques to reveal significant insights hidden beneath layers of disparate data. Today, they can be applied to your business. Just follow these guidelines.
Whether you are a fraud analyst, cyber security expert or social networking analyst, you'll reveal essential information to manage your business…Continue
Added by Tony Agresta on January 24, 2011 at 10:53am — No Comments
Added by Jiang (Jay) Zhou on December 11, 2009 at 9:44pm — No Comments