On the Contextualization of Event-Activity Mappings

Agnes Koschmider, Felix Mannhardt, Tobias Heuser

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

2 Citations (Scopus)


Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches indicate only likelihoods of mappings, since there is often more than one possible solution. To increase the quality of event to activity mappings this paper derives a contextualization for event-activity mappings and argues for a stronger consideration of contextual factors. Based on a literature review, the paper provides a framework for classifying context factors for event-activity mappings. We aim to apply this framework to improve the accuracy of event-activity mappings and, thereby, process mining results in scenarios with low-level events.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
EditorsFlorian Daniel, Quan Z. Sheng, Hamid Motahari
Number of pages13
ISBN (Print)9783030116408
Publication statusPublished - 2019
Externally publishedYes
Event16th International Conference on Business Process Management, BPM International Workshops 2018 - Sydney, Australia
Duration: 9 Sep 201814 Sep 2018

Publication series

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


Conference16th International Conference on Business Process Management, BPM International Workshops 2018

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