A General Framework for Correlating Business Process Characteristics. - Massimiliano de Leoni; Wil M. P. van der Aalst; Marcus Dees (BPM, 2014)

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)

Enhancing Process Models to Improve Business Performance: A Methodology and Case Studies. - Marcus Dees; Massimiliano de Leoni; Felix Mannhardt (OTM Conferences (1), 2017)

What if process predictions are not followed by good recommendations? - Marcus Dees; Massimiliano de Leoni; Wil M. P. van der Aalst; Hajo A. Reijers (BPM (Industry Forum), 2019)

Events Put into Context (EPiC). - Marcus Dees; Bart Hompes; Wil M. P. van der Aalst (ICPM, 2020)

Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics. - Massimiliano de Leoni; Marcus Dees; Laurens Reulink (ICPM, 2020)

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 (Business Process Management Cases (2), 2021)

Generating Process Anomalies with Markov Chains: A Pattern-Driven Approach. - Jochem Veldman; Xixi Lu 001; Wouter van der Waal; Marcus Dees; Inge van de Weerd (ICPM Workshops, 2023)

Bridging Domain Knowledge and Process Discovery Using Large Language Models. - Ali Norouzifar; Humam Kourani; Marcus Dees; Wil M. P. van der Aalst (Business Process Management Workshops, 2024)

Process Variant Analysis Across Continuous Features: A Novel Framework. - Ali Norouzifar; Majid Rafiei; Marcus Dees; Wil M. P. van der Aalst (BPMDS/EMMSAD@CAiSE, 2024)

Event Log Extraction for Process Mining Using Large Language Models. - Vinicius Stein Dani; Marcus Dees; Henrik Leopold; Kiran Busch; Iris Beerepoot; Jan Martijn E. M. van der Werf; Hajo A. Reijers (CoopIS, 2024)

Imposing Rules in Process Discovery: An Inductive Mining Approach. - Ali Norouzifar; Marcus Dees; Wil M. P. van der Aalst (RCIS (1), 2024)