Partial-order-based process mining: a survey and outlook

SJJ Leemans, SJ van Zelst, X Lu - Knowledge and Information Systems, 2023 - Springer
The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …

[HTML][HTML] Cortado: A dedicated process mining tool for interactive process discovery

D Schuster, SJ van Zelst, WMP van der Aalst - SoftwareX, 2023 - Elsevier
Process discovery is an essential discipline within process mining, which deals with the data-
driven generation of insights into operational processes. From event data that capture …

Mining frequent infix patterns from concurrency-aware process execution variants

M Martini, D Schuster, WMP van der Aalst - Proceedings of the VLDB …, 2023 - dl.acm.org
Event logs, as considered in process mining, document a large number of individual process
executions. Moreover, each process execution consists of various executed activities. To …

[HTML][HTML] Defining and visualizing process execution variants from partially ordered event data

D Schuster, F Zerbato, SJ van Zelst… - Information …, 2024 - Elsevier
The execution of operational processes generates event data stored in enterprise
information systems. Process mining techniques analyze such event data to obtain insights …

Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application

D Schuster, E Benevento, D Aloini… - Journal of Healthcare …, 2024 - Springer
Most process mining techniques are primarily automated, meaning that process analysts
input information and receive output. As a result, process mining techniques function like …

Control-flow-based querying of process executions from partially ordered event data

D Schuster, M Martini, SJ van Zelst… - … Conference on Service …, 2022 - Springer
Event logs, as viewed in process mining, contain event data describing the execution of
operational processes. Most process mining techniques take an event log as input and …

Super Variants

JN Adams, E Hastrup-Kiil, G Park… - … Conference on Business …, 2024 - Springer
Process mining offers methods to analyze the actual control-flow behavior of a process. The
two main available methods are process discovery and variant analysis. While process …

[PDF][PDF] Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data

SJ van Zelst, WMP van der Aalst - arXiv preprint arXiv …, 2022 - publications.rwth-aachen.de
Event logs, as viewed in process mining, contain event data describing the execution of
operational processes. Most process mining techniques take an event log as input and …

A Zoom-In Process Mining Based Analysis Model for Document Workflows

J Rāts, I Pede, T Rubina, G Vītols - 2024 8th International …, 2024 - ieeexplore.ieee.org
The paper presents a zoom-in process mining based analysis model for document
workflows. The model aims to improve document management processes by utilizing …

[PDF][PDF] CURRENT POSITIONS

A von Humboldt Professorship - EDUCATION, 1988 - pads.rwth-aachen.de
Online courses: Four open online process mining courses, eg, Process Mining: Data science
in Action (Coursera with> 158.000 registered participants) Course and curriculum …