most citedKnowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2025

Transforming Football Data into Object-centric Event Logs with Spatial Context Information

Vito Chan, Lennart Ebert, Paul-Julius Hillmann +3

Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process beha…

cs.CR2025

The Impact of Event Data Partitioning on Privacy-aware Process Discovery

Jungeun Lim, Stephan A. Fahrenkrog-Petersen, Xixi Lu +2

Information systems support the execution of business processes. The event logs of these executions generally contain sensitive information about customers, patients, and employees…

cs.ET2025

Process Mining on Distributed Data Sources

Maximilian Weisenseel, Julia Andersen, Samira Akili +10

Major domains such as logistics, healthcare, and smart cities increasingly rely on sensor technologies and distributed infrastructures to monitor complex processes in real time. Th…

cs.HC2023★ 1 cited

Timeline-based Process Discovery

Harleen Kaur, Jan Mendling, Christoffer Rubensson +1

A key concern of automatic process discovery is to provide insights into performance aspects of business processes. Waiting times are of particular importance in this context. For…

cs.AI2023★ 2 cited

Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction

Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi +3

Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion. In recent years, PPM…