5 papers
Working My Way Back to You: Resource-Centric Next-Activity Prediction
Kelly Kurowski, Xixi Lu, Hajo A Reijers
Predictive Process Monitoring (PPM) aims to train models that forecast upcoming events in process executions. These predictions support early bottleneck detection, improved schedul…
From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
Kelly Kurowski, Xixi Lu, Hajo A. Reijers
The growing volume of unstructured data within organizations poses significant challenges for data analysis and process automation. Unstructured data, which lacks a predefined form…
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring
Soobin Chae, Suhwan Lee, Hanna Hauptmann +2
Predictive Process Monitoring (PPM) often uses deep learning models to predict the future behavior of ongoing processes, such as predicting process outcomes. While these models ach…
HOEG: A New Approach for Object-Centric Predictive Process Monitoring
Tim K. Smit, Hajo A. Reijers, Xixi Lu
Predictive Process Monitoring focuses on predicting future states of ongoing process executions, such as forecasting the remaining time. Recent developments in Object-Centric Proce…
Measuring the Stability of Process Outcome Predictions in Online Settings
Suhwan Lee, Marco Comuzzi, Xixi Lu +1
Predictive Process Monitoring aims to forecast the future progress of process instances using historical event data. As predictive process monitoring is increasingly applied in onl…