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ORCIDBeate Wais
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- affiliation: University of Vienna, Austria
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2020 – today
- 2024
[c5]Beate Wais
, Stefanie Rinderle-Ma:
Towards a Comprehensive Evaluation of Decision Rules and Decision Mining Algorithms Beyond Accuracy. CAiSE 2024: 403-419- 2023
- [c4]Beate Scheibel, Stefanie Rinderle-Ma:
An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems. CAiSE Forum 2023: 17-25 - [i2]Beate Scheibel, Stefanie Rinderle-Ma:
An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems: Extended Version. CoRR abs/2303.03961 (2023) - 2022
- [c3]Beate Scheibel, Stefanie Rinderle-Ma:
Decision Mining with Time Series Data Based on Automatic Feature Generation. CAiSE 2022: 3-18 - [c2]Beate Scheibel, Stefanie Rinderle-Ma:
Online Decision Mining and Monitoring in Process-Aware Information Systems. ER 2022: 271-280 - 2021
- [j1]Beate Scheibel, Juergen Mangler, Stefanie Rinderle-Ma:
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes. Comput. Ind. 129: 103442 (2021) - [c1]Florian Stertz, Juergen Mangler, Beate Scheibel, Stefanie Rinderle-Ma:
Expectations vs. Experiences - Process Mining in Small and Medium Sized Manufacturing Companies. BPM (Forum) 2021: 195-211 - [i1]Beate Scheibel, Stefanie Rinderle-Ma:
Comparing decision mining approaches with regard to the meaningfulness of their results. CoRR abs/2109.07335 (2021)
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