Discovering injective episodes with general partial orders


Frequent episode discovery is a popular framework for temporal pattern discovery in event streams. An episode is a partially ordered set of nodes with each node associated with an event type. Currently algorithms exist for episode discovery only when the associated partial order is total order (serial episode) or trivial (parallel episode). In this paper… (More)
DOI: 10.1007/s10618-011-0233-y


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