Data-Aware Process Mining: Discovering Decisions in Processes Using Alignments

Process discovery, i.e., learning process models from event logs, has attracted the attention of researchers and practitioners. Today, there exists a wide variety of process mining techniques that are able to discover the control-flow of a process based on event data. These techniques are able to identify decision points, but do not analyze data flow to find rules explaining why individual cases take a particular path. Fortunately, recent advances in conformance checking can be used to align an event log with data and a process model with decision points.

Provided by: Association for Computing Machinery Topic: Big Data Date Added: Mar 2013 Format: PDF

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