Exploring processes and deviations

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

27 Citations (Scopus)
5 Downloads (Pure)

Abstract

In process mining, one of the main challenges is to discover a process model, while balancing several quality criteria. This often requires repeatedly setting parameters, discovering a map and evaluating it, which we refer to as process exploration. Commercial process mining tools like Disco, Perceptive and Celonis are easy to use and have many features, such as log animation, immediate parameter feedback and extensive filtering options, but the resulting maps usually have no executable semantics and due to this, deviations cannot be analysed accurately. Most more academically oriented approaches (e.g., the numerous process discovery approaches supported by ProM) use maps having executable semantics (models), but are often slow, make unrealistic assumptions about the underlying process, or do not provide features like animation and seamless zooming. In this paper, we identify four aspects that are crucial for process exploration: zoomability, evaluation, semantics, and speed. We compare existing commercial tools and academic workflows using these aspects, and introduce a new tool, that aims to combine the best of both worlds. A feature comparison and a case study show that our tool bridges the gap between commercial and academic tools.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops : BPM 2014 International Workshops, Eindhoven, The Netherlands, September 7-8, 2014, Revised Papers
EditorsF. Fournier, J. Mendling
Place of PublicationDordrecht
PublisherSpringer
Pages304-316
ISBN (Electronic)9783319158952
ISBN (Print)978-3-319-15894-5
DOIs
Publication statusPublished - 2015
Event10th International Workshop on Business Process Intelligence (BPI 2014) - Eindhoven, Netherlands
Duration: 7 Sep 20148 Sep 2014
Conference number: 10

Publication series

NameLecture Notes in Business Information Processing
Volume202
ISSN (Print)1865-1348

Workshop

Workshop10th International Workshop on Business Process Intelligence (BPI 2014)
Abbreviated titleBPI 2014
CountryNetherlands
CityEindhoven
Period7/09/148/09/14

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