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 …

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 …

Explainable predictive business process monitoring using gated graph neural networks

M Harl, S Weinzierl, M Stierle… - Journal of Decision …, 2020 - Taylor & Francis
Predictive business process monitoring (PBPM) is a class of techniques designed to forecast
future behaviour of a running process instance or the value of process-related metrics like …

BPRIM: An integrated framework for business process management and risk management

E Lamine, R Thabet, A Sienou, D Bork, F Fontanili… - Computers in …, 2020 - Elsevier
Enterprise engineering deals with the design of processes which aim to improve the
structure and efficiency of business organizations. It develops approaches based on …

How active learning and process mining can act as Continuous Auditing catalyst

M Jans, M Hosseinpour - International Journal of Accounting Information …, 2019 - Elsevier
In the context of Continuous Auditing, different approaches have been proposed to
incorporate data analytics to accomplish a continuous audit environment. Some work …

Run-time prediction of business process indicators using evolutionary decision rules

AE Márquez-Chamorro, M Resinas… - Expert Systems with …, 2017 - Elsevier
Predictive monitoring of business processes is a challenging topic of process mining which
is concerned with the prediction of process indicators of running process instances. The …

Mining resource profiles from event logs

A Pika, M Leyer, MT Wynn, CJ Fidge… - ACM Transactions on …, 2017 - dl.acm.org
In most business processes, several activities need to be executed by human resources and
cannot be fully automated. To evaluate resource performance and identify best practices as …

Fox: a neuro-fuzzy model for process outcome prediction and explanation

V Pasquadibisceglie, G Castellano… - … on Process Mining …, 2021 - ieeexplore.ieee.org
Predictive process monitoring (PPM) techniques have become a key element in both public
and private organizations by enabling crucial operational support of their business …

Using big data to improve safety performance: an application of process mining to enhance data visualisation

A Pika, AHM ter Hofstede, RK Perrons, G Grossmann… - Big Data Research, 2021 - Elsevier
The management of health and safety plays an important role in safety performance, and is
therefore an important foundational element in an organisation's overall sustainable …

BIM log mining: measuring design productivity

L Zhang, M Wen, B Ashuri - Journal of Computing in Civil …, 2018 - ascelibrary.org
There has been a long debate on how to measure design productivity. Compared to
construction productivity, design productivity is much more difficult to measure because …