Outcome-oriented predictive process monitoring: Review and benchmark

I Teinemaa, M Dumas, ML Rosa… - ACM Transactions on …, 2019 - dl.acm.org
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 …

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 …

Predictive process monitoring methods: Which one suits me best?

C Di Francescomarino, C Ghidini, FM Maggi… - … conference on business …, 2018 - Springer
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 …

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 …

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 …

Predictive monitoring of business processes

FM Maggi, C Di Francescomarino, M Dumas… - … , Greece, June 16-20 …, 2014 - Springer
Modern information systems that support complex business processes generally maintain
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 …

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 …

Explainability in predictive process monitoring: when understanding helps improving

W Rizzi, C Di Francescomarino, FM Maggi - International Conference on …, 2020 - Springer
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 …

A recommendation system for predicting risks across multiple business process instances

R Conforti, M De Leoni, M La Rosa… - Decision Support …, 2015 - Elsevier
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 …