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.
Cite
CITATION STYLE
Perrochon, L., Mann, W., Kasriel, S., & Luckham, D. C. (1999). Event mining with event processing networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1574, pp. 474–478). Springer Verlag. https://doi.org/10.1007/3-540-48912-6_63
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