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 …

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 …

Conformance checking

J Carmona, B van Dongen, A Solti… - … : Springer.[Google Scholar], 2018 - Springer
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 …

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 …

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 …

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 …

Time and activity sequence prediction of business process instances

M Polato, A Sperduti, A Burattin, M Leoni - Computing, 2018 - Springer
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 …

A taxonomy for key performance indicators management

E Domínguez, B Pérez, ÁL Rubio, MA Zapata - Computer Standards & …, 2019 - Elsevier
In recent years, research on Key Performance Indicators (KPIs) management has grown
exponentially, giving rise to a multitude of heterogeneous approaches addressing any …

Prescriptive process monitoring: Quo vadis?

K Kubrak, F Milani, A Nolte, M Dumas - PeerJ Computer Science, 2022 - peerj.com
Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …

LSTM networks for data-aware remaining time prediction of business process instances

N Navarin, B Vincenzi, M Polato… - 2017 IEEE Symposium …, 2017 - ieeexplore.ieee.org
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 …