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On-Line Detection and Prediction of Temporal Patterns

  • Shlomi Dolev
  • Jonathan Goldfeld
  • Rami Puzis
Conference paper
  • 727 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7261)

Abstract

Identifying a temporal pattern of events is a fundamental task of on-line (real-time) verification. In this work we present efficient schemes for on-line monitoring of events for identifying predefined patterns of events. The schemes use preprocessing to ensure that the number of comparisons during run-time is minimized. In particular, obsoloete sub-sequences are discarded to avoid unnecessary comparisons.We use our monitoring scheme for estimating the probability that a random suffix of a given execution will contain the pattern.

Keywords

Temporal Pattern Model Check Temporal Constraint Kripke Structure Computation Tree Logic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Shlomi Dolev
    • 1
    • 2
  • Jonathan Goldfeld
    • 1
    • 2
  • Rami Puzis
    • 2
    • 3
  1. 1.Department of Computer ScienceBen-Gurion UniversityBeer-ShevaIsrael
  2. 2.Deutsche Telekom LaboratoriesBen-Gurion UniversityBeer-ShevaIsrael
  3. 3.Department of Information Systems EngineeringBen-Gurion UniversityBeer-ShevaIsrael

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