Publication
SITIS 2013
Conference paper

Business process discovery by using process skeletonization

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Abstract

Process Management software and solutions mainly address structured processes in enterprises, but there are still many business applications that are less structured by their nature, such as human-centric and ad hoc workflows. Existing process mining algorithms often have difficulties in extracting a skeletal structure of a less-structured process model from real-life event logs. We propose a new process mining algorithm by using a skeleton-extraction procedure, which brings structure to less structured business processes. We present experimental mining results from real insurance claim examination event logs and verified the effectiveness of the proposed algorithm. © 2013 IEEE.

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Publication

SITIS 2013

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