Extracting Process Instances from User Interaction Logs-Reference-Cited by-同舟云学术

Extracting Process Instances from User Interaction Logs

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Advanced Information Science and System
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Author:

Kornahrens Lars¹^ORCID,Kritzler Sebastian¹^ORCID,Werth Dr. Dirk¹^ORCID

Affiliation:

1. August-Wilhelm Scheer Institut für digitale Produkte und Prozesse gGmbH, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573834.3574538

Reference19 articles.

1. A. Promitzer , S. Torabi-Goudarzi and D. Werth , " Objectively Assessing the Suitability of Digital Processes for Robotic Process Automation.," in 17 . Internationale Tagung Wirtschaftsinformatik , 2022 . A. Promitzer, S. Torabi-Goudarzi and D. Werth, "Objectively Assessing the Suitability of Digital Processes for Robotic Process Automation.," in 17. Internationale Tagung Wirtschaftsinformatik, 2022.

2. C. Linn , P. Zimmermann and D. Werth , " Desktop activity mining-a new level of detail in mining business processes," in Workshops der INFORMATIK 2018-Architekturen, Prozesse , Sicherheit und Nachhaltigkeit , 2018 . C. Linn, P. Zimmermann and D. Werth, "Desktop activity mining-a new level of detail in mining business processes," in Workshops der INFORMATIK 2018-Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, 2018.

3. Dynamic order Markov model for categorical sequence clustering

4. J. L. Hsu , A. L. Chen and H. C. Chen , " Finding Approximate Repeating Patterns from Sequence Data," in ISMIR , 2004 . J. L. Hsu, A. L. Chen and H. C. Chen, "Finding Approximate Repeating Patterns from Sequence Data," in ISMIR, 2004.

5. Sequence partitioning for process mining with unlabeled event logs