A systematic literature review on state-of-the-art deep learning methods for process prediction
Process mining enables the reconstruction and evaluation of business processes based on
digital traces in IT systems. An increasingly important technique in this context is process …
digital traces in IT systems. An increasingly important technique in this context is process …
Deep learning for predictive business process monitoring: Review and benchmark
E Rama-Maneiro, JC Vidal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …
cases on a business process. Lately, the popularity of deep learning techniques has …
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Predictive business process monitoring methods exploit historical process execution logs to
generate predictions about running instances (called cases) of a business process, such as …
generate predictions about running instances (called cases) of a business process, such as …
Explainable predictive process monitoring
R Galanti, B Coma-Puig, M de Leoni… - … on Process Mining …, 2020 - ieeexplore.ieee.org
Predictive Business Process Monitoring is becoming an essential aid for organizations,
providing online operational support of their processes. This paper tackles the fundamental …
providing online operational support of their processes. This paper tackles the fundamental …
Explainable predictive business process monitoring using gated graph neural networks
Predictive business process monitoring (PBPM) is a class of techniques designed to forecast
future behaviour of a running process instance or the value of process-related metrics like …
future behaviour of a running process instance or the value of process-related metrics like …
[HTML][HTML] Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event …
Predicting next events in predictive process monitoring enables companies to manage and
control processes at an early stage and reduce their action distance. In recent years …
control processes at an early stage and reduce their action distance. In recent years …
Object-centric process predictive analytics
Object-centric processes (also known as Artifact-centric processes) are implementations of a
paradigm where an instance of one process is not executed in isolation but interacts with …
paradigm where an instance of one process is not executed in isolation but interacts with …
Processtransformer: Predictive business process monitoring with transformer network
Predictive business process monitoring focuses on predicting future characteristics of a
running process using event logs. The foresight into process execution promises great …
running process using event logs. The foresight into process execution promises great …
Learning uncertainty with artificial neural networks for predictive process monitoring
H Weytjens, J De Weerdt - Applied Soft Computing, 2022 - Elsevier
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 …
impediment to their widespread use. We distinguish two types of learnable uncertainty …
Darwin: An online deep learning approach to handle concept drifts in predictive process monitoring
Predictive process monitoring (PPM) is a specific task under the umbrella of Process Mining
that aims to predict several factors of a business process (eg, next activity prediction) based …
that aims to predict several factors of a business process (eg, next activity prediction) based …