david talby, svp engineering, atigeo at mlconf atl - 9/18/15

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Online fraud detection:A reference architecture for adversarial learningDavid Talby@davidtalby

SVP Engineering, Atigeo

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Why Semi-Supervised Learning & Feedback?

50+Schemes(and counting)

99.9999%‘Good’ messages

6+Monthsper case

3Why Hybrid Analytics?

Ignore more rules

Unusual timing of

eventsUnusualpersonal network

Teamwork & scale

Think & talk differently

4Why Hybrid Analytics?

Rule Inference

Time Series

AnalysisLink

Analysis

Ensemble Learning

Natural Language

5Stream processing

Kafka

Email Stream

Account transactions Stream

Email NLP Features

People graph

Transactions time series

6User Analysis Iteration

Email NLP Features

User graph

Transactions time series

Graph Features

Time SeriesFeatures

NLP Features

Agent Feedback

Trai

n / T

est C

lass

ifier

77

Thank you!

Source code available on request:

David.Talby@atigeo.com

@davidtalby

© 2015 Atigeo, Corporation. All rights reserved. Atigeo and the xPatterns logo are trademarks of Atigeo. The information herein is for informational purposes only and represents the current view of Atigeo as of the date of this presentation. Because Atigeo must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Atigeo, and Atigeo cannot guarantee the accuracy of any information provided after the date of this presentation. ATIGEO MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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