The continued success of Large Language Models (LLMs) and other generati...
Anonymization of event logs facilitates process mining while protecting
...
Advances in deep neural network (DNN) architectures have enabled new
pre...
The propagation of rumours on social media poses an important threat to
...
Today's social networks continuously generate massive streams of data, w...
Process mining enables the analysis of complex systems using event data
...
Privacy-preserving process mining enables the analysis of business proce...
To enable process analysis based on an event log without compromising th...
Process performance indicators (PPIs) are metrics to quantify the degree...
This paper presents a command-line tool, called Entropia, that implement...
While supporting the execution of business processes, information system...
Event logs capture the execution of business processes in terms of execu...
Graph embedding aims at learning a vector-based representation of vertic...
Predictive process monitoring is a family of techniques to analyze event...
Deep learning models are trained on servers with many GPUs, and training...