Papers Predictive Process Monitoring
“Predictive Process Monitoring” 태그가 달린 논문 50편 · 필터 해제
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring
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 achieve high accuracy, their lack of interp…
counterfactualDecision MakingFeature ImportancePredictive Process MonitoringSelf-Explaining Neural Networks for Business Process Monitoring
Tasks in Predictive Business Process Monitoring (PBPM), such as Next Activity Prediction, focus on generating useful business predictions from historical case logs. Recently, Deep Learning methods, particularly sequence-…
Activity PredictionPredictive Process MonitoringDirectly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
In the past years, predictive process monitoring (PPM) techniques based on artificial neural networks have evolved as a method to monitor the future behavior of business processes. Existing approaches mostly focus on int…
Predictive Process MonitoringAchieving Group Fairness through Independence in Predictive Process Monitoring
Predictive process monitoring focuses on forecasting future states of ongoing process executions, such as predicting the outcome of a particular case. In recent years, the application of machine learning models in this d…
FairnessPredictive Process MonitoringGenerating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
In predictive process monitoring, predictive models are vulnerable to adversarial attacks, where input perturbations can lead to incorrect predictions. Unlike in computer vision, where these perturbations are designed to…
Predictive Process MonitoringExtending predictive process monitoring for collaborative processes
Process mining on business process execution data has focused primarily on orchestration-type processes performed in a single organization (intra-organizational). Collaborative (inter-organizational) processes, unlike th…
Predictive Process MonitoringAttention Please: What Transformer Models Really Learn for Process Prediction
Predictive process monitoring aims to support the execution of a process during runtime with various predictions about the further evolution of a process instance. In the last years a plethora of deep learning architectu…
Activity PredictionDecision MakingPredictionPredictive Process MonitoringHOEG: A New Approach for Object-Centric Predictive Process Monitoring
Predictive Process Monitoring focuses on predicting future states of ongoing process executions, such as forecasting the remaining time. Recent developments in Object-Centric Process Mining have enriched event data with …
BenchmarkingGraph Neural NetworkObjectPredictive Process MonitoringGuiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
Counterfactual explanations suggest what should be different in the input instance to change the outcome of an AI system. When dealing with counterfactual explanations in the field of Predictive Process Monitoring, howev…
counterfactualPredictive Process MonitoringStructural Positional Encoding for knowledge integration in transformer-based medical process monitoring
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. In medical domains, predictive process monitor…
Knowledge Graph EmbeddingManagementOntology EmbeddingPredictive Process Monitoring+1Interpretable and Explainable Machine Learning Methods for Predictive Process Monitoring: A Systematic Literature Review
This paper presents a systematic literature review (SLR) on the explainability and interpretability of machine learning (ML) models within the context of predictive process mining, using the PRISMA framework. Given the r…
Predictive Process MonitoringSystematic Literature ReviewKnowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction
Predictive Process Monitoring (PPM) aims at leveraging historic process execution data to predict how ongoing executions will continue up to their completion. In recent years, PPM techniques for the prediction of the nex…
Activity PredictionPredictive Process MonitoringEnhancing the Accuracy of Predictors of Activity Sequences of Business Processes
Predictive process monitoring is an evolving research field that studies how to train and use predictive models for operational decision-making. One of the problems studied in this field is that of predicting the sequenc…
Decision MakingPredictive Process MonitoringMeasuring the Stability of Process Outcome Predictions in Online Settings
Predictive Process Monitoring aims to forecast the future progress of process instances using historical event data. As predictive process monitoring is increasingly applied in online settings to enable timely interventi…
Decision MakingPredictive Process MonitoringTime SeriesInter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?
Regardless of the domain, forecasting the future behaviour of a running process instance is a question of interest for decision makers, especially when multiple instances interact. Fostered by the recent advances in mach…
Predictive Process MonitoringQuantum Machine LearningJust Tell Me: Prompt Engineering in Business Process Management
GPT-3 and several other language models (LMs) can effectively address various natural language processing (NLP) tasks, including machine translation and text summarization. Recently, they have also been successfully empl…
Machine TranslationManagementPositionPredictive Process Monitoring+2Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective
This paper introduces a comprehensive, multi-stage machine learning methodology that effectively integrates information systems and artificial intelligence to enhance decision-making processes within the domain of operat…
Decision MakingPredictive Process Monitoringquantile regressionCommunicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
As data-driven intelligent systems advance, the need for reliable and transparent decision-making mechanisms has become increasingly important. Therefore, it is essential to integrate uncertainty quantification and model…
Decision MakingPredictive Process MonitoringUncertainty QuantificationExplain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
Recent papers have introduced a novel approach to explain why a Predictive Process Monitoring (PPM) model for outcome-oriented predictions provides wrong predictions. Moreover, they have shown how to exploit the explanat…
Predictive Process MonitoringPerformance-Preserving Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However,…
PredictionPredictive Process Monitoring