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Found 6 papers, 2 papers with code
Process Mining Model to Predict Mortality in Paralytic Ileus Patients
There is a need for more accurate prediction modeling for ICU patients diagnosed with PI.
Masking Neural Networks Using Reachability Graphs to Predict Process Events
This paper proposes an approach to further interlock the process model of Decay Replay Mining with its neural network for next event prediction.
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
"Adversarial System Variant Approximation to Quantify Process Model Generalization."
Adversarial System Variant Approximation to Quantify Process Model Generalization
Sequence Generative Adversarial Networks are trained on the variants contained in an event log with the intention to approximate the underlying variant distribution of the system behavior.
Decay Replay Mining to Predict Next Process Events
Recent methods have proposed deep learning techniques such as recurrent neural networks, developed on raw event logs, to predict the next event from a process state.
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments
Based on users' behavior logs tracked by a Java application suitable for multi-application and multi-instance environments, we demonstrate the applicability for a specific task in a common Windows environment utilizing realistic simulated behaviors of users.
