Finding structure in unstructured processes : the case for process mining

W.M.P. Aalst, van der, C.W. Günther

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

72 Citations (Scopus)

Abstract

Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions), process mining aims at the discovery of models (e.g., Petri nets) from incomplete information (i.e., only example behavior is given). The more mature process mining techniques perform well on structured processes. However, most of the existing techniques fail miserably when confronted with unstructured processes. This paper attempts to "bring structure to the unstructured" by using an integrated combination of abstraction and clustering techniques. The ultimate goal is to present process models that are understandable by analysts and that lead to improved system/process redesigns.
Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Application of Concurrency to System Design (ACSD 2007) 10-13 July 2007, Bratislava, Slovak Republic
Place of PublicationPiscataway NJ
PublisherInstitute of Electrical and Electronics Engineers
Pages3-12
ISBN (Print)978-0-7695-2902-8
DOIs
Publication statusPublished - 2007
Event7th International Conference on Application of Concurrency to System Design (ACSD 2007) - Bratislava, Slovakia
Duration: 10 Jul 200713 Jul 2007
Conference number: 7

Conference

Conference7th International Conference on Application of Concurrency to System Design (ACSD 2007)
Abbreviated titleACSD 2007
CountrySlovakia
CityBratislava
Period10/07/0713/07/07

Fingerprint

Dive into the research topics of 'Finding structure in unstructured processes : the case for process mining'. Together they form a unique fingerprint.

Cite this