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Event Mining with Event Processing Networks
Louis Perrochon, Walter Mann, Stephane Kasriel, David C. Luckham Computer Systems Laboratory, Stanford University, Stanford, CA 94305,

The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining. April 26-28, 1999. Beijing, China.

Keywords: Event processing, event correlation, agents, distributed computing, real time databases, RAPIDE.

Language: English.

Abstract:

Event Mining discovers and delivers information and knowledge in a real-time stream of data, or events. We show that the process of delivering knowledge by searching patterns in data and subsequent abstraction of found patterns can be applied in real-time to a complex, asynchronous system. Our event processing engine consists of a network of event processing agents (EPAs) running in parallel that interact using a dedicated event processing infrastructure. The agents can be configured at run-time using a formal pattern language. The underlying infrastructure (1) provides an abstract communication mechanism and thus allows dynamic reconfiguration of the communication topology between agents at run-time and (2) provides transparent, location-independent access to all data. These features allow dynamic allocation of EPAs to different threads and processes on different machines at run time.

Available files: Paper [ gzipped Postscript ] Slides [ gzipped Postscript ][ zipped PowerPoint ]

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