Towards Improving the Representational Bias of Process Mining

Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. Process discovery - discovering a process model from example behavior recorded in an event log - is one of the most challenging tasks in process mining. A variety of process discovery techniques have been proposed. Most techniques suffer from the problem that often the discovered model is internally inconsistent (i.e., the model has deadlocks, livelocks or other behavioral anomalies).

Provided by: Eindhoven University of Technology Topic: Big Data Date Added: May 2012 Format: PDF

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