Dependency Detection in Interval-based Event Streams
european conference on principles of data mining and knowledge discovery(2014)
摘要
We present a new approach to mine dependencies between
streams of interval-based events that links two events if they occur in a
similar manner, one being often followed by the other one in the data.
The proposed technique is robust to temporal variability of events and
determines the most appropriate time intervals whose validity is assessed
by a Chi2 test. TEDDY algorithm prunes the search space while certifying
the discovery of all valid and significant temporal dependencies.
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关键词
event,detection,interval-based
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