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Apama, Fraud Detection and Heat Maps
Post 302155045 by Linux Bot on Wednesday 2nd of January 2008 07:30:10 PM
01-02-2008
Apama, Fraud Detection and Heat Maps
Tim Bass
Wed, 02 Jan 2008 23:57:21 +0000
In this graphic above (click the image*for a larger view) Apama uses a heat map to visualize suspicious trading activity in real time.***
Amazingly, in the Fox Business interview John mentions an interesting statistic.** During certain business situations, like mergers and acquisitions, experts have estimated that up to 30 percent of trading activity can be linked to insider trading.** The event processing goal, of course, is to detect fraud sooner than later, minimizing fraudulent market transactions and*their influence on the market.
Source...
Wed, 02 Jan 2008 23:57:21 +0000
A few days ago in Visualization*Reloaded*I touched*upon the subject of*heat maps.* In that post the*application context*was monitoring a massively parallel online gaming platform using a combination of event processing technologies by StreamBase and SL.
Today, I was reminded of another heat map created by Progress Apama during a leisurely morning viewing of a Fox Business New video interview with John Bates.* This time the context is the detection of patterns of insider trading.**In this graphic above (click the image*for a larger view) Apama uses a heat map to visualize suspicious trading activity in real time.***
Amazingly, in the Fox Business interview John mentions an interesting statistic.** During certain business situations, like mergers and acquisitions, experts have estimated that up to 30 percent of trading activity can be linked to insider trading.** The event processing goal, of course, is to detect fraud sooner than later, minimizing fraudulent market transactions and*their influence on the market.
Source...
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