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Event Mining with Event Processing Networks

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Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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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.

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References

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Author information

Authors and Affiliations

  1. Computer Systems Lab, Stanford University, Stanford, CA, 94306, USA

    Louis Perrochon, Walter Mann, Stephane Kasriel & David C. Luckham

Authors
  1. Louis Perrochon
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  2. Walter Mann
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  3. Stephane Kasriel
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  4. David C. Luckham
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Perrochon, L., Mann, W., Kasriel, S., Luckham, D.C. (1999). Event Mining with Event Processing Networks. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_63

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  • DOI: https://doi.org/10.1007/3-540-48912-6_63

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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