Predictive Process Monitoring
22 papers with code • 0 benchmarks • 1 datasets
A branch of predictive analysis that attempts to predict some future state of a business process.
Benchmarks
These leaderboards are used to track progress in Predictive Process Monitoring
Ultra-processed Food Dataset
Latest papers
Can deep neural networks learn process model structure? An assessment framework and analysis
Therefore, in this work, we propose an evaluation scheme complemented with new fitness, precision, and generalisation metrics, specifically tailored towards measuring the capacity of deep learning models to learn process model structure.
XAI in the context of Predictive Process Monitoring: Too much to Reveal
To address this gap, we provide a framework to enable studying the effect of different PPM-related settings and ML model-related choices on characteristics and expressiveness of resulting explanations.
Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
To address this gap, we investigate the effect of different PPM settings on resulting data fed into an ML model and consequently to a XAI method.
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
hansweytjens/uncertainty-remaining_time
•
•
This obliviousness of uncertainty is a major obstacle towards their adoption in practice.
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Current explainable machine learning methods, such as LIME and SHAP, can be used to interpret black box models.
Explainable Predictive Process Monitoring
PyRicky/LSTM_Generic_explainable
•
•
Predictive Business Process Monitoring is becoming an essential aid for organizations, providing online operational support of their processes.
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
farbodtaymouri/GanPredictiveMonitoring
•
•
Predictive process monitoring aims to predict future characteristics of an ongoing process case, such as case outcome or remaining timestamp.
Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring
Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outcome of running process instances.
Alarm-Based Prescriptive Process Monitoring
Predictive process monitoring is concerned with the analysis of events produced during the execution of a process in order to predict the future state of ongoing cases thereof.
Temporal Stability in Predictive Process Monitoring
irhete/stability-predictive-monitoring
•
•
We then show that temporal stability can be enhanced by hyperparameter-optimizing random forests and XGBoost classifiers with respect to inter-run stability.
