5 papers
A TEE-based Approach for Preserving Data Secrecy in Process Mining with Decentralized Sources
Davide Basile, Valerio Goretti, Luca Barbaro +2
Process mining techniques enable organizations to gain insights into their business processes through the analysis of execution records (event logs) stored by information systems.…
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…
TimeFlows: Visualizing Process Chronologies from Vast Collections of Heterogeneous Information Objects
Max Lonysa Muller, Erik Saaman, Jan Martijn E. M. van der Werf +2
In many fact-finding investigations, notably parliamentary inquiries, process chronologies are created to reconstruct how a controversial policy or decision came into existence. Cu…