Multi-perspective Process Analysis: Mining the Association Between Control Flow and Data Objects

Dina Bayomie*, Kate Revoredo, Jan Mendling

*Corresponding author for this work

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Process mining techniques provide process analysts with insights into interesting patterns of a business process. Current techniques have focused by and large on the explanation of behavior, partially by help of features that relate to multiple perspectives beyond just pure control flow. However, techniques to provide insights into the connection between data elements of related events have been missing so far. Such connections are relevant for several analysis tasks such as event correlation, resource allocation, or log partitioning. In this paper, we propose a multi-perspective mining technique for discovering data connections. More specifically, we adapt concepts from association rule mining to extract connections between a sequence of events and behavioral attributes of related data objects and contextual features. Our technique was evaluated using real-world events supporting the usefulness of the mined association rules.

Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering
Subtitle of host publication34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings
EditorsXavier Franch, Geert Poels, Frederik Gailly, Monique Snoeck
Place of PublicationCham
PublisherSpringer International
Number of pages18
ISBN (Electronic)9783031074721
ISBN (Print)9783031074714, 9783031074738
Publication statusPublished - 3 Jun 2022
Event34th International Conference on Advanced Information Systems Engineering, CAiSE 2022 - Leuven, Belgium
Duration: 6 Jun 202210 Jun 2022

Publication series

SeriesLecture Notes in Computer Science (LNCS)


Conference34th International Conference on Advanced Information Systems Engineering, CAiSE 2022

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.


  • Association rules
  • Multi-perspective process analysis
  • Process analytic

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