Predictive Process Monitoring

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (50 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Predictive Business Process Monitoring with LSTM Neural Networks
  7 Dec 2016 5 repositories listed
  First, we show that LSTMs outperform existing techniques to predict the next event of a running case and its timestamp.
• Alarm-Based Prescriptive Process Monitoring
  23 Mar 2018 2 repositories listed
  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.
• Achieving Group Fairness through Independence in Predictive Process Monitoring
  6 Dec 2024 1 repository listed
  Predictive process monitoring focuses on forecasting future states of ongoing process executions, such as predicting the outcome of a particular case.
• Attention Please: What Transformer Models Really Learn for Process Prediction
  12 Aug 2024 1 repository listed
  Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance.
• HOEG: A New Approach for Object-Centric Predictive Process Monitoring
  8 Apr 2024 1 repository listed
  To leverage this enriched data, we propose the Heterogeneous Object Event Graph encoding (HOEG), which integrates events and objects into a graph structure with diverse node types.
• Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
  18 Mar 2024 1 repository listed
  In this work, we adapt state-of-the-art techniques for counterfactual generation in the domain of XAI that are based on genetic algorithms to consider a series of temporal constraints at runtime.
• Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
  13 Mar 2024 1 repository listed
  Predictive process monitoring is a process mining task aimed at forecasting information about a running process trace, such as the most correct next activity to be executed.
• Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction
  14 Dec 2023 1 repository listed
  Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion.
• Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes
  9 Dec 2023 1 repository listed
  the case suffix.
• Measuring the Stability of Process Outcome Predictions in Online Settings
  13 Oct 2023 1 repository listed
  This paper proposes an evaluation framework for assessing the stability of models for online predictive process monitoring.
• Trace Encoding in Process Mining: a survey and benchmarking
  5 Jan 2023 1 repository listed
  Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc.
• Can recurrent neural networks learn process model structure?
  13 Dec 2022 1 repository listed
  In this work, we investigate the capabilities of such an LSTM to actually learn the underlying process model structure of an event log.
• Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
  13 Jun 2022 1 repository listed
  The inability of artificial neural networks to assess the uncertainty of their predictions is an impediment to their widespread use.
• Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models
  30 Mar 2022 1 repository listed
  In this paper, we define explainability through the interpretability of the explanations and the faithfulness of the explainability model in the field of process outcome prediction.
• Can deep neural networks learn process model structure? An assessment framework and analysis
  24 Feb 2022 1 repository listed
  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…
• Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
  16 Feb 2022 1 repository listed
  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.
• XAI in the context of Predictive Process Monitoring: Too much to Reveal
  16 Feb 2022 1 repository listed
  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.
• Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring
  5 Jul 2021 1 repository listed
  Often the training and test sets are not completely separated, a data leakage problem particular to predictive process monitoring.
• Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
  12 May 2021 1 repository listed
  This obliviousness of uncertainty is a major obstacle towards their adoption in practice.
• Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
  8 Dec 2020 1 repository listed
  Current explainable machine learning methods, such as LIME and SHAP, can be used to interpret black box models.
• Explainable Predictive Process Monitoring
  4 Aug 2020 1 repository listed
  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
  25 Mar 2020 1 repository listed
  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
  23 May 2019 1 repository listed
  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.
• Temporal Stability in Predictive Process Monitoring
  12 Dec 2017 1 repository listed
  We then show that temporal stability can be enhanced by hyperparameter-optimizing random forests and XGBoost classifiers with respect to inter-run stability.
• Outcome-Oriented Predictive Process Monitoring: Review and Benchmark
  21 Jul 2017 1 repository listed
  Predictive business process monitoring refers to the act of making predictions about the future state of ongoing cases of a business process, based on their incomplete execution traces and logs of historical (completed)…