Towards process instances building for spaghetti processes

C. Diamantini, L. Genga, D. Potena, W.M.P. van der Aalst

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
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Process Mining techniques aim at building a process model starting from an event log generated during the execution of the pro- cess. Classical process mining approaches have problems when dealing with Spaghetti Processes, i.e. processes with little or no structure, since they obtain very chaotic models. As a remedy, in previous works we pro- posed a methodology aimed at supporting the analysis of a spaghetti process by means of its most relevant subprocesses. Such approach ex- ploits graph-mining techniques, thus requiring to reconstruct the set of process instances starting from the sequential traces stored in the event log. In the present work, we discuss the main problems related to process instances building in spaghetti contexts, and introduce a proposal for ex- tending a process instance building technique to address such issues.

Original languageEnglish
Title of host publication23rd Italian Symposium on Advanced Database Systems, SEBD 2015
EditorsD. Lembo, A. Marrella, R. Torlone
Place of PublicationRed Hook
PublisherCurran Associates
Number of pages8
ISBN (Electronic)9781510810877
Publication statusPublished - 2015
Event23rd Italian Symposium on Advanced Database Systems (SEBD 2015) - Gaeta, Italy
Duration: 14 Jun 201517 Jun 2015
Conference number: 23


Conference23rd Italian Symposium on Advanced Database Systems (SEBD 2015)
Abbreviated titleSEBD 2015
Internet address


  • Process instances building
  • Process mining
  • Spaghetti processes


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