Marcus Dees

According to our database, Marcus Dees authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging Domain Knowledge and Process Discovery Using Large Language Models.

Ali Norouzifar, Humam Kourani, Marcus Dees, Wil M. P. van der Aalst

CoRR, 2024

Imposing Rules in Process Discovery: An Inductive Mining Approach.

Ali Norouzifar, Marcus Dees, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science, 2024

Process Variant Analysis Across Continuous Features: A Novel Framework.

Ali Norouzifar, Majid Rafiei, Marcus Dees, Wil M. P. van der Aalst

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2024

2023

Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach.

Jochem Veldman, Xixi Lu, Wouter van der Waal, Marcus Dees, Inge van de Weerd

Proceedings of the Process Mining Workshops, 2023

2021

Accurate Predictions, Invalid Recommendations: Lessons Learned at the Dutch Social Security Institute UWV.

Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers

Proceedings of the Business Process Management Cases Vol. 2, Digital Transformation, 2021

2020

Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics.

Massimiliano de Leoni, Marcus Dees, Laurens Reulink

Proceedings of the 2nd International Conference on Process Mining, 2020

Events Put into Context (EPiC).

Marcus Dees, Bart Hompes, Wil M. P. van der Aalst

Proceedings of the 2nd International Conference on Process Mining, 2020

2019

What if process predictions are not followed by good recommendations?

Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers

Proceedings of the Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019), 2019

2017

Enhancing Process Models to Improve Business Performance: A Methodology and Case Studies.

Marcus Dees, Massimiliano de Leoni, Felix Mannhardt

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017

2016

A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs.

Massimiliano de Leoni, Wil M. P. van der Aalst, Marcus Dees

Inf. Syst., 2016

2014

A General Framework for Correlating Business Process Characteristics.

Massimiliano de Leoni, Wil M. P. van der Aalst, Marcus Dees

Proceedings of the Business Process Management - 12th International Conference, 2014