Fraud Detection With R And Azure

Kevin Feasel

2015-12-28

Cloud, R

David Smith shows us an online fraud detection template:

Detecting fraudulent transactions is a key applucation of statistical modeling, especially in an age of online transactions. R of course has many functions and packages suited to this purpose, including binary classification techniques such as logistic regression.

If you’d like to implement a fraud-detection application, the Cortana Analytics gallery features an Online Fraud Detection Template. This is a step-by step guide to building a web-service which will score transactions by likelihood of fraud, created in five steps

Read through for the five follow-up articles.  This is a fantastic series and I plan to walk through it step by step myself.

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