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 …
Big data-driven supply chain performance measurement system: a review and framework for implementation
SS Kamble, A Gunasekaran - International journal of production …, 2020 - Taylor & Francis
Performance measures and metrics (PMM) is identified to be an essential aspect of
managing diverse supply chains. The PMM improves the firm's performance by providing …
managing diverse supply chains. The PMM improves the firm's performance by providing …
Conformance checking
A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …
some abstract representation, driven by the purpose of the model. As such, models …
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 …
The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending
C Serrano-Cinca, B Gutiérrez-Nieto - Decision Support Systems, 2016 - Elsevier
This study goes beyond peer-to-peer (P2P) lending credit scoring systems by proposing a
profit scoring. Credit scoring systems estimate loan default probability. Although failed …
profit scoring. Credit scoring systems estimate loan default probability. Although failed …
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 …
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 …
A taxonomy for key performance indicators management
In recent years, research on Key Performance Indicators (KPIs) management has grown
exponentially, giving rise to a multitude of heterogeneous approaches addressing any …
exponentially, giving rise to a multitude of heterogeneous approaches addressing any …
Prescriptive process monitoring: Quo vadis?
Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …
recommending interventions at runtime to prevent negative outcomes or address poorly …
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 …