Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/6989
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dc.contributor.authorManoj, Kumar, M.V.
dc.contributor.authorThomas, L.
dc.contributor.authorAnnappa, B.
dc.date.accessioned2020-03-30T09:46:34Z-
dc.date.available2020-03-30T09:46:34Z-
dc.date.issued2018
dc.identifier.citationSmart Innovation, Systems and Technologies, 2018, Vol.79, , pp.693-701en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6989-
dc.description.abstractControl-flow discovery algorithms of Process Mining are capable of generating excellent process models until the process is structured (less number of activities and paths connecting between them). Otherwise, process model with Spaghetti structure will be generated. These models are unstructured, incomprehensible and cannot be used for operational support. This paper proposes the techniques for (1) converting Spaghetti (unstructured) process to Lasagna (structured) process, and (2) Identifying the frequent execution paths in the process under consideration. � 2018, Springer Nature Singapore Pte Ltd.en_US
dc.titleSimplifying spaghetti processes to find the frequent execution pathsen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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