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Beate Wais
Beate Wais
Alte numeBeate Scheibel
Universität Wien, Fakultät für Informatik
Adresă de e-mail confirmată pe univie.ac.at
Titlu
Citat de
Citat de
Anul
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes
B Scheibel, J Mangler, S Rinderle-Ma
Computers in Industry 129, 103442, 2021
442021
Expectations vs. experiences–process mining in small and medium sized manufacturing companies
F Stertz, J Mangler, B Scheibel, S Rinderle-Ma
International Conference on Business Process Management, 195-211, 2021
172021
Decision mining with time series data based on automatic feature generation
B Scheibel, S Rinderle-Ma
International Conference on Advanced Information Systems Engineering, 3-18, 2022
112022
Comparing decision mining approaches with regard to the meaningfulness of their results
B Scheibel, S Rinderle-Ma
arXiv preprint arXiv:2109.07335, 2021
82021
Online decision mining and monitoring in process-aware information systems
B Scheibel, S Rinderle-Ma
International Conference on Conceptual Modeling, 271-280, 2022
52022
An end-to-end approach for online decision mining and decision drift analysis in process-aware information systems
B Scheibel, S Rinderle-Ma
International Conference on Advanced Information Systems Engineering, 17-25, 2023
32023
Towards a comprehensive evaluation of decision rules and decision mining algorithms beyond accuracy
B Wais, S Rinderle-Ma
International Conference on Advanced Information Systems Engineering, 403-419, 2024
22024
An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version
B Scheibel, S Rinderle-Ma
arXiv preprint arXiv:2303.03961, 2023
12023
DigiEMine: Towards Leveraging Decision Mining and Context Data for Quality Control
B Wais, S Rinderle-Ma
International Conference on Enterprise Design, Operations, and Computing …, 2024
2024
Business process management for efficient manufacturing-sustainability by design
J Mangler, M Ehrendorfer, B Wais, S Rinderle-Ma
Handbook on Business Process Management and Digital Transformation, 388-408, 2024
2024
3 RQ1: Analysis of Time Sequence Data and Engineering Drawings in Decision Mining
B Wais, J Mangler, S Rinderle-Ma
Advancing Decision Mining: Harnessing Context Data and Enabling Runtime …, 2024
2024
5 RQ3: Analysis of Decision Mining Results
B Wais, S Rinderle-Ma
Advancing Decision Mining: Harnessing Context Data and Enabling Runtime …, 2024
2024
3.3 Paper C: DigiEMine: Towards Leveraging Decision Mining and Context Data for Quality Control
B Wais, S Rinderle-Ma
Advancing Decision Mining: Harnessing Context Data and Enabling Runtime …, 2024
2024
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