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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Tuesday, May 17 • 10:40am - 11:00am
Hunting Criminals with Hybrid Analytics

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Fraud detection is a classic adversarial analytics challenge: As soon as an automated system successfully learns to stop one scheme, fraudsters move on to attack another way. Each scheme requires looking for different signals (i.e. features) to catch; is relatively rare (one in millions for finance or e-commerce); and may take months to investigate a single case (in healthcare or tax, for example) – making quality training data scarce. This talk will cover, via live demo and code walk-through, the key lessons we've learned while building such real-world software systems over the past few years. We'll be looking for fraud signals in public email datasets, using IPython and popular open-source libraries (scikit-learn, statsmodel, nltk, etc.) for data science and Apache Spark as the compute engine for scalable parallel processing. The model is an ensemble using a combination of natural language, graph analysis and time series analysis features, and is re-trained using an automated pipeline to learn from feedback on the fly.

Speakers
avatar for David Talby

David Talby

CTO, Atigeo
David Talby is Atigeo’s chief technology officer, working to evolve its big data analytics platform to solve real-world problems in healthcare, energy, and cyber-security. David has extensive experience in building and operating web-scale data science and business platforms, as well as building world-class, agile, distributed teams. Previously, he was with Microsoft’s Bing group, where he led business operations for Bing Shopping in the US... Read More →


Tuesday May 17, 2016 10:40am - 11:00am
Markov

Attendees (10)