Wednesday, August 23 • 4:45pm - 5:45pm
Online Payment Fraud Detection with Azure Machine Learning

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Fraud detection is one of the earliest industrial applications of data mining and machine learning. As part of the Azure Machine Learning offering, Microsoft provides a template that helps data scientists easily build and deploy an online transaction fraud detection solution. The template includes a collection of pre-configured machine learning modules, as well as custom R scripts, to enable an end-to-end solution. This session presents best practices, design guidelines and a working implementation for building an online payment fraud detection mechanism in a SharePoint portal connected to a credit card payment gateway. The full source code of the solution is released as open source.

avatar for Stefano Tempesta

Stefano Tempesta

Microsoft RD and MVP
Stefano Tempesta is a Microsoft RD (Regional Director), MVP on AI and Business Applications, and Chapter Leader for the Microsoft Dynamics 365 Community in Switzerland (community.dynamics.com).A regular speaker at international IT conferences, including Microsoft Ignite and Tech Summit... Read More →

Wednesday August 23, 2017 4:45pm - 5:45pm
B07-B08 bcc Berlin Congress Center