Discovering Block-Structured Process Models from Incomplete Event Logs

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Provided by: Eindhoven University of Technology
Topic: Big Data
Format: PDF
One of the main challenges in process mining is to discover a process model describing observed behavior in the best possible manner. Since event logs only contain example behaviour and one cannot assume to have seen all possible process executions, process discovery techniques need to be able to handle incompleteness. In this paper, the authors study the effects of such incomplete logs on process discovery. They analyze the impact of incompleteness of logs on behavioral relations, which are abstractions often used by process discovery techniques.
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