Skip to search boxSkip to navigationSkip to main content

The Automated Discovery of Hybrid Processes

  • Tijs Slaats
    ,
  • Hajo Reijers
    ,
  • Fabrizio Maria Maggi
Research Output:
Journal Article or Conference Article in Journal
Conference article
Research
Peer-review

Open access

Abstract

The declarative-procedural dichotomy is highly relevant when choosing the most suitable process modeling language to represent a discovered process. Less-structured processes with a high level of variability can be described in a more compact way using a declarative language. By contrast, procedural process modeling languages seem more suitable to describe structured and stable processes. However, in various cases, a process may incorporate parts that are better captured in a declarative fashion, while other parts are more suitable to be described procedurally. In this paper, we present a technique for discovering from an event log a so-called hybrid process model. A hybrid process model is hierarchical, where each of its sub-processes may be specified in a declarative or procedural fashion. We have implemented the proposed approach as a plug-in of the ProM platform. To evaluate the approach, we used our plug-in to mine a real-life log from a financial context.

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Conference article
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 392-399

Journal (Volume, Issue Number)

Lecture Notes in Computer Science (Volume 8659)

Publication milestones

  • Published - 2014

Publication status

Published - 2014

ISSN

0302-9743

Publication IDs

  • Scopus: 84906773183

Publication metrics

PlumX, opens in new tab

Citation count
48
Captures
28