Process mining techniques and applications–A systematic mapping study
C dos Santos Garcia, A Meincheim, ERF Junior… - Expert Systems with …, 2019 - Elsevier
Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …
and to help capture the more significant findings during real execution rather than, those …
Explainable artificial intelligence for process mining: A general overview and application of a novel local explanation approach for predictive process monitoring
N Mehdiyev, P Fettke - Interpretable artificial intelligence: A perspective of …, 2021 - Springer
The contemporary process-aware information systems possess the capabilities to record the
activities generated during the process execution. To leverage these process specific fine …
activities generated during the process execution. To leverage these process specific fine …
[PDF][PDF] Predictive process monitoring
C Di Francescomarino, C Ghidini - Process Mining Handbook, 2022 - library.oapen.org
Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …
Predictive monitoring of business processes: a survey
AE Márquez-Chamorro, M Resinas… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Nowadays, process mining is becoming a growing area of interest in business process
management (BPM). Process mining consists in the extraction of information from the event …
management (BPM). Process mining consists in the extraction of information from the event …
Predictive process monitoring methods: Which one suits me best?
Predictive process monitoring has recently gained traction in academia and is maturing also
in companies. However, with the growing body of research, it might be daunting for data …
in companies. However, with the growing body of research, it might be daunting for data …
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
M De Leoni, WMP Van Der Aalst, M Dees - Information Systems, 2016 - Elsevier
Process mining can be viewed as the missing link between model-based process analysis
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …
and data-oriented analysis techniques. Lion׳ s share of process mining research has been …
Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction
W Kratsch, J Manderscheid, M Röglinger… - Business & Information …, 2021 - Springer
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …
of business processes at runtime. It helps identify problems before they occur and re …
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 …
Time and activity sequence prediction of business process instances
The ability to know in advance the trend of running process instances, with respect to
different features, such as the expected completion time, would allow business managers to …
different features, such as the expected completion time, would allow business managers to …
LSTM networks for data-aware remaining time prediction of business process instances
Predicting the completion time of business process instances would be a very helpful aid
when managing processes under service level agreement constraints. The ability to know in …
when managing processes under service level agreement constraints. The ability to know in …