[HTML][HTML] Quantifying and relating the completeness and diversity of process representations using species estimation

M Kabierski, M Richter, M Weidlich - Information Systems, 2025 - Elsevier
The analysis of process representations, such as event logs or process models, has become
a staple in the context of business process management. Insights gained from such an …

Integrated declarative process and decision discovery of the emergency care process

S Mertens, S Mertens - Enabling Process Management for Loosely Framed …, 2020 - Springer
This chapter is the result of EC3. It describes the development of a method for creating a
process and decision knowledge base for loosely framed KiPs. The ADR-cycle combines …

[PDF][PDF] On process discovery experimentation

JR REHSE, S Leemans, P FETTKE… - ACM Transactions on …, 2024 - leemans.ch
Process mining is a family of techniques that aims to extract knowledge on business
processes from event logs, which contain records of executions of process instances [72] …

On process discovery experimentation: addressing the need for research methodology in process discovery

JR Rehse, SJJ Leemans, P Fettke… - ACM Transactions on …, 2024 - dl.acm.org
Process mining aims to derive insights into business processes from event logs recorded
from information systems. Process discovery algorithms construct process models that …

Adversarial system variant approximation to quantify process model generalization

J Theis, H Darabi - IEEE Access, 2020 - ieeexplore.ieee.org
In process mining, process models are extracted from event logs using process discovery
algorithms and are commonly assessed using multiple quality metrics. While the metrics that …

Supporting Physicians Through Prescriptive Process Monitoring

S Mertens, F Gailly - 2023 IEEE 11th International Conference …, 2023 - ieeexplore.ieee.org
Physicians face increasing pressure to provide effective medical treatment. The complexity
of the healthcare system, which is dynamic, multi-disciplinary, flexible, human-centered, and …

Process mining crimes–a threat to the validity of process discovery evaluations

JR Rehse, P Fettke - Business Process Management Forum: BPM Forum …, 2018 - Springer
Given the multitude of new approaches and techniques for process mining, a thorough
evaluation of new contributions has become an indispensable part of every publication. In …

On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization

J Theis, I Mokhtarian, H Darabi - International Conference on Process …, 2021 - Springer
Process mining algorithms discover a process model from an event log. The resulting
process model is supposed to describe all possible event sequences of the underlying …

[КНИГА][B] Enabling process management for loosely framed knowledge-intensive processes

S Mertens - 2020 - Springer
Enabling Process Management for Loosely Framed Knowledge-intensive Processes Page 1
123 LNBIP 409 Enabling Process Management for Loosely Framed Knowledgeintensive …

Predicting System Behavior through Deep Learning of Process Mining Models and Generalization Metric

J Theis - 2021 - search.proquest.com
With the ongoing digitization of industries and the rising number of interconnected devices,
an increasing amount of system recordings are created. Process mining describes a set of …