Event Mining with Event Processing Networks

Authors:
Louis Perrochon;Walter Mann;Stephane Kasriel;David C. Luckham
Affiliations:
-;-;-;-
Venue:
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Year:
1999

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Abstract

Event Mining discovers information in a stream of data, or events, and delivers knowledge in real-time. Our event processing engine consists of a network of event processing agents (EPAs) running in parallel that interact using a dedicated event processing infrastructure. EPAs can be configured at run-time using a formal pattern language. The underlying infrastructure provides an abstract communication mechanism and thus allows dynamic reconfiguration of the communication topology between agents at run-time and provides transparent, location-independent access to all data. These features support dynamic allocation of EPAs to machines in a local area network at run time.