Outcome-oriented predictive process monitoring: Review and benchmark
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 …
future state of ongoing cases of a business process, based on their incomplete execution …
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 …
Predictive monitoring of business processes
Modern information systems that support complex business processes generally maintain
significant amounts of process execution data, particularly records of events corresponding …
significant amounts of process execution data, particularly records of events corresponding …
The state-of-the-art of business process mining challenges
H R'bigui, C Cho - International Journal of Business Process …, 2017 - inderscienceonline.com
Business process mining is a new method that amalgamates business process modelling
and analysis with data mining and machine learning techniques, whereby knowledge from …
and analysis with data mining and machine learning techniques, whereby knowledge from …
Clustering-based predictive process monitoring
C Di Francescomarino, M Dumas… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The enactment of business processes is generally supported by information systems that
record data about each process execution (aka case). This data can be analyzed via a …
record data about each process execution (aka case). This data can be analyzed via a …
Explainability in predictive process monitoring: when understanding helps improving
Predictive business process monitoring techniques aim at making predictions about the
future state of the executions of a business process, as for instance the remaining execution …
future state of the executions of a business process, as for instance the remaining execution …
A recommendation system for predicting risks across multiple business process instances
This paper proposes a recommendation system that supports process participants in taking
risk-informed decisions, with the goal of reducing risks that may arise during process …
risk-informed decisions, with the goal of reducing risks that may arise during process …