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KAVA-PM: Knowledge-assisted visual process mining

delete2025-11-01
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OA
AI
D
Daniel Schuster *
W
Wolfgang Aigner
C
Chiara Di Francescomarino
Ç
Çağatay Turkay
F
Francesca Zerbato
DOI:10.1016/j.is.2025.102638delete
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Abstract

Abstract

En 中文
• Conceptual model adapted to process mining for distinguishing between tacit and explicit knowledge. • Key research challenges validated by the visual analytics and process mining communities through an international survey.
Keywords:
Process mining
Visual analytics
Business process management
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

I
Information Systems
IF:
3.4
Papers:
137
Citations:
0

Organization

U
University of Trento
Scholars:
8.8K
Papers: 9.0K
Citations: 1.2W
C
centre for interdisciplinary methodologies
Scholars:
2
Papers: 2
Citations: 0
F
I
institute of creative \ media/technologies
Scholars:
1
Papers: 1
Citations: 0
E
Eindhoven University of Technology
Scholars:
1.6W
Papers: 1.5W
Citations: 2.2W
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Cited Papers

Cited Papers

Analyzing How Process Mining Reports Answer Time Performance Questions
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errCarlos Capitán-Agudo; María Salas-Urbano; Cristina Cabanillas; Manuel Resinas
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Visual Analytics: Definition, Process, and Challenges
err2025-01-31
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errDaniel Keim; Gennady Andrienko; Jean-Daniel Fekete; Carsten Görg; Jörn Kohlhammer; Guy Melançon
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Event abstraction in process mining: literature review and taxonomy
err2020-05-27
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errOAAI
errSebastiaan J. van Zelst; Felix Mannhardt; Massimiliano de Leoni; Agnes Koschmider
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The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics
err2017-10-01
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PREAI
errPaolo Federico; Markus Wagner; Alexander Rind; Albert Amor-Amoros; Silvia Miksch; Wolfgang Aigner
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Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study
err2021-10-11
err50
errOAAI
errMartin, Niels; Fischer, Dominik A.; Kerpedzhiev, Georgi D.; Goel, Kanika; Leemans, Sander J. J.; Roeglinger, Maximilian; van der Aalst, Wil M. P.; Dumas, Marlon; La Rosa, Marcello; Wynn, Moe T.
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researcher View more