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Fraud Detection – the neural nets are watching. – Wired

Credit card fraud costs US merchants and credit card companies more than $3.4 billion a year. That figure would undoubtedly be much higher without the use of computer surveillance systems to monitor every transaction.One of the most proven anti-fraud systems is FICO’s Falcon Fraud Manager, which keeps tabs on more than 4 billion transactions a month and uses lightning-fast neural networks to scan for suspicious purchase patterns. The Falcon system specializes in detecting things a human would never notice. For example, if you use your card to buy a tank of gas and then go directly to a jewelry store to make a purchase, your account will almost surely be flagged, especially if you’re not a person who buys a lot of bling. The reason: Over years of correlating variables, testing, and learning, the system has noticed that a criminal’s first stop after stealing a credit card is often a gas station. If that goes through, the thief knows the card hasn’t yet been reported as stolen.

(Full Story: Fraud Detection – the neural nets are watching. – Wired)

Drools Fusion – JBoss Community

The vision on Drools 5 of a Behavioural Modeling Platform can only be achieved by moving away from any of the narrow modeling perspectives that see only Rules, or Processes, or Events as their main modeling concept. To effectively achieve the flexibility and power of behavioural modeling, a platform must understand all of these concepts as primary concepts and allow them to leverage on each other strengths.
(Link: Drools Fusion – JBoss Community)


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