International Conference on Process Mining

ICPM

CORE rank

CORE rank (raw)

Fields of research

Data Management and Data Science · Artificial Intelligence

Papers indexed

480

2019–2025

Best Artificial Intelligence conferences Best Data Science and Information Retrieval conferences

Papers per year

2019113 peak2025

Most published authors

ICPM papers

480 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2021	Analyzing Multi-level BOM-Structured Event Data.	Tobias Brockhoff, Merih Seran Uysal, Isabelle Terrier, Heiko Ghner, Wil M. P. van der Aalst
2021	Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction.	Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
2021	An A	Mathilde Boltenhagen, Thomas Chatain, Josep Carmona
2021	A Bridging Model for Process Mining and IoT.	Yannis Bertrand, Jochen De Weerdt, Estefana Serral
2021	An Event Data Extraction Approach from SAP ERP for Process Mining.	Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst
2021	Selecting Representative Sample Traces from Large Event Logs.	Gal Bernard, Periklis Andritsos
2021	Probabilistic Trace Alignment.	Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Pealoza
2021	Towards a Natural Language Conversational Interface for Process Mining.	Luciana Barbieri, Edmundo Roberto Mauro Madeira, Kleber Stroeh, Wil M. P. van der Aalst
2021	xPM: A Framework for Process Mining with Exogenous Data.	Adam Banham, Sander J. J. Leemans, Moe Thandar Wynn, Robert Andrews
2021	Efficient Approximate Conformance Checking Using Trie Data Structures.	Ahmed Awad, Kristo Raun, Matthias Weidlich
2021	Why Am I Waiting? Analyzing Waiting Times in Business Processes from Event Logs (Extended Abstract).	Muhammad Awais Ali
2021	Discovering Declarative Process Model Behavior from Event Logs via Model Learning.	Simone Agostinelli, Giacomo Bergami, Alessio Fiorenza, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi
2021	Precision and Fitness in Object-Centric Process Mining.	Jan Niklas Adams, Wil M. P. van der Aalst
2021	Discovering Care Pathways for Multi-morbid Patients Using Event Graphs.	Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint
2021	Probability Estimation of Uncertain Process Trace Realizations.	Marco Pegoraro, Bianka Bakullari, Merih Seran Uysal, Wil M. P. van der Aalst
2021	Process Mining on Uncertain Event Data (Extended Abstract).	Marco Pegoraro
2020	Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation.	Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl
2020	A Generic Framework for Trace Clustering in Process Mining.	Fareed Zandkarimi, Jana-Rebecca Rehse, Pouya Soudmand, Hartmut Hoehle
2020	VDD: A Visual Drift Detection System for Process Mining.	Anton Yeshchenko, Jan Mendling, Claudio Di Ciccio, Artem Polyvyanyy
2020	Visually Representing History Dependencies in Event Logs.	Manuel Wetzel, Agnes Koschmider, Thomas Wilke
2020	Analysis of Business Process Batching Using Causal Event Models.	Philipp Waibel, Christian Novak, Saimir Bala, Kate Revoredo, Jan Mendling
2020	A Process Mining Software Comparison.	Daniel Viner, Matthias Stierle, Martin Matzner
2020	Detecting System-Level Behavior Leading To Dynamic Bottlenecks.	Zahra Toosinezhad, Dirk Fahland, zge Kroglu, Wil M. P. van der Aalst
2020	A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset.	Erica Tavazzi, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, Michel A. Cuendet
2020	Alignment Approximation for Process Trees.	Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

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