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On the Contextualization of Event-Activity Mappings

Abstract

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.
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Category

Academic article

Language

English

Author(s)

  • Agnes Koschmider
  • Felix Mannhardt
  • Heuser Tobias

Affiliation

  • SINTEF Digital / Technology Management
  • Karlsruhe Institute of Technology

Year

2019

Published in

Lecture Notes in Business Information Processing

ISSN

1865-1348

Volume

342

Page(s)

445 - 457

View this publication at Norwegian Research Information Repository