Papers Predictive Process Monitoring
“Predictive Process Monitoring” 태그가 달린 논문 50편 · 필터 해제
Trace Encoding in Process Mining: a survey and benchmarking
Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc. These methods are usually performed as preprocessing steps and …
BenchmarkingPredictive Process MonitoringSurveyCan recurrent neural networks learn process model structure?
Various methods using machine and deep learning have been proposed to tackle different tasks in predictive process monitoring, forecasting for an ongoing case e.g. the most likely next event or suffix, its remaining time…
modelPredictive Process MonitoringNirdizati: an Advanced Predictive Process Monitoring Toolkit
Predictive Process Monitoring is a field of Process Mining that aims at predicting how an ongoing execution of a business process will develop in the future using past process executions recorded in event logs. The recen…
Predictive Process MonitoringLearning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
The inability of artificial neural networks to assess the uncertainty of their predictions is an impediment to their widespread use. We distinguish two types of learnable uncertainty: model uncertainty due to a lack of t…
Predictive Process MonitoringPredictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions
Business process compliance is a key area of business process management and aims at ensuring that processes obey to compliance constraints such as regulatory constraints or business rules imposed on them. Process compli…
ManagementPredictionPredictive Process MonitoringEvent 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,…
Activity PredictionPredictionPredictive Process MonitoringExplainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models
Although a recent shift has been made in the field of predictive process monitoring to use models from the explainable artificial intelligence field, the evaluation still occurs mainly through performance-based metrics, …
Explainable artificial intelligencePredictive Process MonitoringCounterfactual Explanations for Predictive Business Process Monitoring
Predictive business process monitoring increasingly leverages sophisticated prediction models. Although sophisticated models achieve consistently higher prediction accuracy than simple models, one major drawback is their…
counterfactualCounterfactual ExplanationExplanation GenerationMulti-class Classification+2Can deep neural networks learn process model structure? An assessment framework and analysis
Predictive process monitoring concerns itself with the prediction of ongoing cases in (business) processes. Prediction tasks typically focus on remaining time, outcome, next event or full case suffix prediction. Various …
PredictionPredictive Process MonitoringExplainability of Predictive Process Monitoring Results: Can You See My Data Issues?
Predictive business process monitoring (PPM) has been around for several years as a use case of process mining. PPM enables foreseeing the future of a business process through predicting relevant information about how a …
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Predictive Process MonitoringXAI in the context of Predictive Process Monitoring: Too much to Reveal
Predictive Process Monitoring (PPM) has been integrated into process mining tools as a value-adding task. PPM provides useful predictions on the further execution of the running business processes. To this end, machine l…
Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)Predictive Process MonitoringExplainable Predictive Process Monitoring: A User Evaluation
Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also happens in the Predictive Process Monit…
BIG-bench Machine LearningDecision MakingManagementPredictive Process MonitoringProcK: Machine Learning for Knowledge-Intensive Processes
We present a novel methodology to build powerful predictive process models. Our method, denoted ProcK (Process & Knowledge), relies not only on sequential input data in the form of event logs, but can learn to use a know…
AttributeBIG-bench Machine LearningGraph Neural NetworkKnowledge Graphs+1How do I update my model? On the resilience of Predictive Process Monitoring models to change
Existing well investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions, and then use it to predict the future of new ongoing cases, without the possibi…
Incremental LearningPredictive Process MonitoringCreating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring
Advances in AI, and especially machine learning, are increasingly drawing research interest and efforts towards predictive process monitoring, the subfield of process mining (PM) that concerns predicting next events, pro…
Predictive Process MonitoringLearning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes
Artificial neural networks will always make a prediction, even when completely uncertain and regardless of the consequences. This obliviousness of uncertainty is a major obstacle towards their adoption in practice. Techn…
Predictive Process MonitoringEvaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
Predictive process analytics focuses on predicting the future states of running instances of a business process. While advanced machine learning techniques have been used to increase accuracy of predictions, the resultin…
BIG-bench Machine LearningFeature ImportancePredictive Process MonitoringPredictive Process Model Monitoring using Recurrent Neural Networks
The field of predictive process monitoring focuses on case-level models to predict a single specific outcome such as a particular objective, (remaining) time, or next activity/remaining sequence. Recently, a longer-horiz…
modelPredictive Process MonitoringTime Series AnalysisTime Series ForecastingLocal Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
This study proposes an innovative explainable predictive quality analytics solution to facilitate data-driven decision-making for process planning in manufacturing by combining process mining, machine learning, and expla…
Binary ClassificationDecision MakingExplainable artificial intelligenceExplainable Artificial Intelligence (XAI)+1Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
The contemporary process-aware information systems possess the capabilities to record the activities generated during the process execution. To leverage these process specific fine-granular data, process mining has recen…
Decision MakingExplainable artificial intelligenceManagementPredictive Process Monitoring