Source:
TIBCO Software, Inc., Palo Alto, CA, p.16 (2006)
URL:
http://www.tibco.com/mk/2006/webtcep02-jun-06us.jsp
Abstract:
The art and science of multisensor data fusion has emerged as an underlying foundation for Predictive Business®, including applications such as enterprise risk management and fraud detection. Enterprise fraud detection and other complex inference processing solutions require the management of real-time events from distributed sensors, agents and other processing components, including historical data-at-rest repositories. Distributed event-driven architectures such as TIBCO® Enterprise Messaging Service™ or TIBCO Rendezvous® provide the underlying communications infrastructure that enables high performance rule-based event processing services. In this paper we discuss Predictive Business in the context of fraud detection with a focus on the distributed processing architecture. Emphasis is placed on the JDL data fusion model and TIBCO BusinessEvents™ in the context of event processing.
Full Text:
Source:
TIBCO Software, Inc., Palo Alto, CA, p.16 (2006)
URL:
http://www.tibco.com/mk/2006/webtcep02-jun-06us.jsp
Abstract:
The art and science of multisensor data fusion has emerged as an underlying foundation for Predictive Business®, including applications such as enterprise risk management and fraud detection. Enterprise fraud detection and other complex inference processing solutions require the management of real-time events from distributed sensors, agents and other processing components, including historical data-at-rest repositories. Distributed event-driven architectures such as TIBCO® Enterprise Messaging Service™ or TIBCO Rendezvous® provide the underlying communications infrastructure that enables high performance rule-based event processing services. In this paper we discuss Predictive Business in the context of fraud detection with a focus on the distributed processing architecture. Emphasis is placed on the JDL data fusion model and TIBCO BusinessEvents™ in the context of event processing.