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Timeline-based process discovery

delete2025-05-10
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OA
AI
C
Christoffer Rubensson
H
Harleen Kaur
T
Timotheus Kampik
J
Jan Mendling
DOI:10.1016/j.is.2025.102568delete
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Abstract

Abstract

En 中文
• This work proposes four layout strategies to align a process model to a time axis. • Timeline models can more effectively convey time and help identify bottlenecks. • Timeline models face the challenge of balancing model abstraction with consistency.
Keywords:
Process mining
Automatic process discovery
Visual analytics
Timelines
Directly-follows graphs

Journal

Enterprise Information Systems cover
Enterprise Information Systems
IF:
3.9
Papers:
2.8K
Citations:
1.8K

Organization

No organization information available
Cited Papers

Cited Papers

Scalable alignment of process models and event logs: An approach based on automata and S-components
err2020-12-01
err12
errOAAI
errReissner, Daniel; Armas-Cervantes, Abel; Conforti, Raffaele; Dumas, Marlon; Fahland, Dirk; La Rosa, Marcello
errShare
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Change visualisation: Analysing the resource and timing differences between two event logs
err2017-04-01
err14
errOAAI
errLow, W. Z.; van der Aalst, W. M. P.; ter Hofstede, A. H. M.; Wynn, M. T.; De Weerdt, J.
errShare
errSave
Incremental construction of minimal acyclic finite-state automata
err2000-03-01
err112
errOAAI
errDaciuk, J; Mihov, S; Watson, BW; Watson, RE
errShare
errSave
Process diagnostics using trace alignment: Opportunities, issues, and challenges
err2012-04-01
err95
PREAI
errBose, R. P. Jagadeesh Chandra; van der Aalst, Wil M. P.
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errSave
errShare
errSave
A systematic literature review of process modeling guidelines and their empirical support
err2020-11-07
err0
PREAI
errDiego Toralles Avila; Rubens Ideron dos Santos; Jan Mendling; Lucineia Heloisa Thom
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