All papers published in the workshop series

2025

• Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams by Andrea Maldonado, Christian Imenkamp, Hendrik Reiter, Thomas Seidl, Wilhelm Hasselbring, Martin Werner and Agnes Koschmider
• Push your objects into streams! Streaming OCPM, Take 1 by Jeppe M. Mikkelsen, Andrey Rivkin and Andrea Burattin
• Object-Centric Streaming-Based Process Discovery by Lukas Liss, Nina Löseke and Wil van der Aalst

2024

• Detect & Conquer: Template-Based Analysis of Processes using Complex Event Processing by Christian Imenkamp, Samira Akili, Matthias Weidlich and Agnes Koschmider
• Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction by Tamara Verbeek, Ruozhu Yao and Marwan Hassani

2022

• Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings by Lisan Wolters and Marwan Hassani
• Uncovering Change: A Streaming Approach for Declarative Processes by Andrea Burattin, Hugo A. López and Lasse Starklit

2021

• PErrCas: Process Error Cascade Mining in Trace Streams by Anna Wimbauer, Florian Richter, and Thomas Seidl
• Continuous Performance Evaluation for Business Process Outcome Monitoring by Suhwan Lee, Marco Comuzzi, and Xixi Lu
• Online Prediction of Aggregated Retailer Consumer Behaviour by Yorick Spenrath, Marwan Hassani, and Boudewijn F. van Dongen
• (Work-in-progress pitch) Towards Best Practices for Online Predictive Process Monitoring by Stijn Kas, Ivar Siccama, Peter van der Putten, Georg Krempl, Ruben Post, Sebastiaan Wiewel, and Hajo Reijers

2020

• Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events by Jonghyeon Ko and Marco Comuzzi
• Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation by Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, and Thomas Seidl
• OTOSO: Online Trace Ordering for Structural Overviews by Florian Richter, Andrea Maldonado, Ludwig Zellner, and Thomas Seidl
• Performance Skyline: Inferring Process Performance Models from Interval Events by Andrea Maldonado, Janina Sontheim, Florian Richter, and Thomas Seidl