Actionable Conformance Checking: From Intuitions to Code

Josep Carmona, Matthias Weidlich, Boudewijn van Dongen

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

Abstract

Conformance checking is receiving increasing attention in the last years. This is due to several reasons, that can be summarized into two: the explosion of digital information that talks about processes, and the need to use this data in order to monitor and improve processes in organizations. Naturally, conformance checking addresses this by providing techniques capable of relating modeled and recorded process information. This paper overviews in a very accessible way the main techniques and feedback of the conformance checking field. Moreover, in order to make it actionable, code snippets are provided so that an organization can start a conformance checking project on its own data.

Original languageEnglish
Title of host publicationBig Data Management and Analytics - 9th European Summer School, eBISS 2019, Revised Selected Papers
EditorsRalf-Detlef Kutsche, Esteban Zimányi
PublisherSpringer
Pages1-24
Number of pages24
ISBN (Print)9783030616267
DOIs
Publication statusPublished - 2020
Event9th European Business Intelligence and Big Data Summer School, eBISS 2019 - Berlin, Germany
Duration: 30 Jun 20195 Jul 2019

Publication series

NameLecture Notes in Business Information Processing
Volume390
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference9th European Business Intelligence and Big Data Summer School, eBISS 2019
Country/TerritoryGermany
CityBerlin
Period30/06/195/07/19

Bibliographical note

Funding Information:
Acknowledgments. This work has been supported by MINECO and FEDER funds under grant TIN2017-86727-C2-1-R.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Funding

Acknowledgments. This work has been supported by MINECO and FEDER funds under grant TIN2017-86727-C2-1-R.

Keywords

  • Alignments
  • BPMN
  • Business process management
  • Conformance checking
  • Event logs
  • Petri nets
  • Process mining

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