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 …

Automated discovery of process models from event logs: Review and benchmark

A Augusto, R Conforti, M Dumas… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

[HTML][HTML] A framework for data-driven digital twins of smart manufacturing systems

J Friederich, DP Francis, S Lazarova-Molnar… - Computers in …, 2022 - Elsevier
Adoption of digital twins in smart factories, that model real statuses of manufacturing systems
through simulation with real time actualization, are manifested in the form of increased …

Process mining: a 360 degree overview

WMP van der Aalst - Process Mining Handbook, 2022 - Springer
Process mining enables organizations to uncover their actual processes, provide insights,
diagnose problems, and automatically trigger corrective actions. Process mining is an …

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 …

Impact of business analytics and enterprise systems on managerial accounting

D Appelbaum, A Kogan, M Vasarhelyi, Z Yan - International journal of …, 2017 - Elsevier
The nature of management accountants' responsibility is evolving from merely reporting
aggregated historical value to also including organizational performance measurement and …

Process mining for python (PM4Py): bridging the gap between process-and data science

A Berti, SJ Van Zelst, W van der Aalst - arXiv preprint arXiv:1905.06169, 2019 - arxiv.org
Process mining, ie, a sub-field of data science focusing on the analysis of event data
generated during the execution of (business) processes, has seen a tremendous change …

Building a complementary agenda for business process management and digital innovation

J Mendling, BT Pentland, J Recker - European journal of …, 2020 - Taylor & Francis
The world is blazing with change and digital innovation is fuelling the fire. Process
management can help channel the heat into useful work. Unfortunately, research on digital …

A survey on educational process mining

A Bogarín, R Cerezo, C Romero - … Reviews: Data Mining and …, 2018 - Wiley Online Library
Educational process mining (EPM) is an emerging field in educational data mining (EDM)
aiming to make unexpressed knowledge explicit and to facilitate better understanding of the …

[PDF][PDF] An introduction to docker and analysis of its performance

BB Rad, HJ Bhatti, M Ahmadi - International Journal of Computer …, 2017 - researchgate.net
Docker provide some facilities, which are useful for developers and administrators. It is an
open platform can be used for building, distributing, and running applications in a portable …