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Causal nets: a modeling language tailored towards process discovery

CONCUR, (2011): 28-42

Cited by: 113|Views128
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Abstract

Process discovery--discovering a process model from example behavior recorded in an event log--is one of the most challenging tasks in process mining. The primary reason is that conventional modeling languages (e.g., Petri nets, BPMN, EPCs, and ULM ADs) have difficulties representing the observed behavior properly and/or succinctly. Moreo...More

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