Using Graphs and Machine Learning to Find Needles in a Haystack

Using Graphs and Machine Learning to Find Needles in a Haystack

Fraud detection, in many ways, resembles finding needles in a haystack. You must sort and make sense of massive amounts of data in order to find your “needles” or in this case, your fraudsters.

Let’s use the example of a phone company with billions of calls occurring in its network, all on a weekly basis. How can it identify signs of fraudulent activity from its mountain — or haystack — of call logs?

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