Editing Complex event processing (section)

==Conceptual description==

Among thousands of incoming events, a monitoring system may for instance receive the following three from the same source:

# church bells ringing.
# the appearance of a man in a tuxedo with a woman in a flowing white gown.
# rice flying through the air.

From these events the monitoring system may infer a ''complex event'': a wedding. CEP as a technique helps discover complex events by analyzing and correlating other events:<ref>D. Luckham, "The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems", Addison-Wesley, 2002.</ref> the bells, the man and woman in wedding attire and the rice flying through the air.

CEP relies on a number of techniques,<ref>O. Etzion and P. Niblett, "Event Processing in Action", Manning Publications, 2010.</ref> including:

* Event-[[pattern detection]]
* Event [[Abstraction (computer science)|abstraction]]
* Event filtering
* Event aggregation and transformation 
* Modeling event hierarchies
* Detecting relationships (such as [[causality]], [[meronymy|membership]] or [[Synchronization|timing]]) between events
* Abstracting [[event-driven programming|event-driven]] processes

Commercial applications of CEP exist in variety of industries and include the detection of [[credit card fraud|credit-card fraud]], [[business activity monitoring]], and security monitoring.<ref>
[http://www.complexevents.com Details of commercial products and use cases]</ref>