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2020 – today
- 2024
[c8]Ali Norouzifar
, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst:
Process Variant Analysis Across Continuous Features: A Novel Framework. BPMDS/EMMSAD@CAiSE 2024: 129-142- [c7]Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst:
Imposing Rules in Process Discovery: An Inductive Mining Approach. RCIS (1) 2024: 220-236 - [i4]Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst:
Process Variant Analysis Across Continuous Features: A Novel Framework. CoRR abs/2406.04347 (2024) - [i3]Ali Norouzifar, Humam Kourani, Marcus Dees, Wil M. P. van der Aalst:
Bridging Domain Knowledge and Process Discovery Using Large Language Models. CoRR abs/2408.17316 (2024) - [i2]Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst:
Imposing Rules in Process Discovery: an Inductive Mining Approach. CoRR abs/2408.17326 (2024) - 2023
- [c6]Jochem Veldman, Xixi Lu, Wouter van der Waal, Marcus Dees, Inge van de Weerd:
Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach. ICPM Workshops 2023: 123-135 - 2021
- [p1]Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
Accurate Predictions, Invalid Recommendations: Lessons Learned at the Dutch Social Security Institute UWV. Business Process Management Cases (2) 2021: 165-178 - 2020
- [c5]Massimiliano de Leoni, Marcus Dees, Laurens Reulink:
Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics. ICPM 2020: 9-16 - [c4]Marcus Dees, Bart Hompes, Wil M. P. van der Aalst:
Events Put into Context (EPiC). ICPM 2020: 65-72
2010 – 2019
- 2019
- [c3]Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
What if process predictions are not followed by good recommendations? BPM (Industry Forum) 2019: 61-72 - [i1]Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
What if Process Predictions are not followed by Good Recommendations? CoRR abs/1905.10173 (2019) - 2017
- [c2]Marcus Dees, Massimiliano de Leoni, Felix Mannhardt:
Enhancing Process Models to Improve Business Performance: A Methodology and Case Studies. OTM Conferences (1) 2017: 232-251 - 2016
- [j1]Massimiliano de Leoni, Wil M. P. van der Aalst, Marcus Dees:
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs. Inf. Syst. 56: 235-257 (2016) - 2014
- [c1]Massimiliano de Leoni, Wil M. P. van der Aalst, Marcus Dees:
A General Framework for Correlating Business Process Characteristics. BPM 2014: 250-266
Coauthor Index
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