7 papers
Shadows of Transparency: Signaling Transparency-Impeding Behavior Using Public Data
Jos Zuijderwijk, Iris Beerepoot, Thomas Martens +3
Freedom of Information (FOI) laws aim to increase government transparency, yet existing assessments focus mainly on legal compliance and procedural outcomes, leaving organizational…
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…
TAPAS: A Pattern-Based Approach to Assessing Government Transparency
Jos Zuijderwijk, Iris Beerepoot, Thomas Martens +3
Government transparency, widely recognized as a cornerstone of open government, depends on robust information management practices. Yet effective assessment of information manageme…