8 citations · 10 across the 4 of their papers we have counts for
5 papers
IoT Miner: Intelligent Extraction of Event Logs from Sensor Data for Process Mining
Edyta Brzychczy, Urszula Jessen, Krzysztof Kluza +2
This paper presents IoT Miner, a novel framework for automatically creating high-level event logs from raw industrial sensor data to support process mining. In many real-world sett…
WISE: Unraveling Business Process Metrics with Domain Knowledge
Urszula Jessen, Dirk Fahland
Anomalies in complex industrial processes are often obscured by high variability and complexity of event data, which hinders their identification and interpretation using process m…
Re-Thinking Process Mining in the AI-Based Agents Era
Alessandro Berti, Mayssa Maatallah, Urszula Jessen +2
Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-t…
Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge
Alessandro Berti, Urszula Jessen, Wil M. P. van der Aalst +1
Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP (O2C and P2P…
Chit-Chat or Deep Talk: Prompt Engineering for Process Mining
Urszula Jessen, Michal Sroka, Dirk Fahland
This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse…