| description |
Distributed cooperative systems that use event notification for
communication can benefit from event correlation within the
notification network. In the presence of uncertain data, however,
correlation results easily become unreliable. The handling of
uncertainty is therefore an important challenge for event
correlation in distributed event notification systems. In this
paper, we present a generic correlation model that is aware of
uncertainty. We propose uncertainty constraints that event
correlation can take into account and show how they can lead to
higher confidence in the correlation result. We demonstrate that the
application of this model allows to obtain a qualitative description
of event correlation.
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