1 citations · 1 across the 1 of their papers we have counts for
9 papers
Framework for Grouping Local Process Models
Viki Peeva, Wil M. P. van der Aalst
Local Process Models (LPMs) are an underexplored concept in process mining. LPMs describe patterns in event data considering sequence, choice, concurrency, and loop. In recent year…
Discriminative Rule Learning for Outcome-Guided Process Model Discovery
Ali Norouzifar, Wil van der Aalst
Event logs extracted from information systems offer a rich foundation for understanding and improving business processes. In many real-world applications, it is possible to disting…
Integrating Domain Knowledge into Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees +1
Process discovery aims to derive process models from event logs, providing insights into operational behavior and forming a foundation for conformance checking and process improvem…
Online Discovery of Simulation Models for Evolving Business Processes (Extended Version)
Francesco Vinci, Gyunam Park, Wil van der Aalst +1
Business Process Simulation (BPS) refers to techniques designed to replicate the dynamic behavior of a business process. Many approaches have been proposed to automatically discove…
eST Miner -- Process Discovery Based on Firing Partial Orders
Sabine Folz-Weinstein, Christian Rennert, Lisa Luise Mannel +2
Process discovery generates process models from event logs. Traditionally, an event log is defined as a multiset of traces, where each trace is a sequence of events. The total orde…
Translating Workflow Nets into the Partially Ordered Workflow Language
Humam Kourani, Gyunam Park, Wil van der Aalst
The Partially Ordered Workflow Language (POWL) has recently emerged as a process modeling notation, offering strong quality guarantees and high expressiveness. However, its adoptio…