Decision mining in a broader context: An overview of the current landscape and future directions

Johannes De Smedt, Seppe vanden Broucke, Josue Obregon, Aekyung Kim, Jae-Yoon Jung, Jan Vanthienen

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

The term Decision Mining has been put forward in literature to cover numerous applications in a diverse set of contexts. In the business process management community, it typically reflects the way processes and data required for decision purposes in those processes are blended into one model during discovery. However, the upcoming field of decision modeling and management requires the term to be repositioned in order to obtain a better understanding of the interplay of processes and decisions. In this paper, the different approaches that are currently available are delineated and a case is made for a new type of decision mining: one that separates the control flow and decision perspective in a less stringent form compared to existing approaches.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops
PublisherSpringer-Verlag Berlin Heidelberg
Pages197-207
Volume281
ISBN (Electronic)978-3-319-58457-7
ISBN (Print) 978-3-319-58456-0
DOIs
Publication statusE-pub ahead of print - 6 May 2017
Event4th International Workshop on Decision Mining and Modeling for Business Processes - Brazil, Rio De Janiero, Brazil
Duration: 19 Sep 2016 → …
http://feb.kuleuven.be/demimop16

Publication series

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

Workshop

Workshop4th International Workshop on Decision Mining and Modeling for Business Processes
Abbreviated title(DeMiMoP’16)
Country/TerritoryBrazil
CityRio De Janiero
Period19/09/16 → …
Internet address

Keywords

  • decision mining
  • decision management
  • DMN

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