A systematic literature review on state-of-the-art deep learning methods for process prediction

DA Neu, J Lahann, P Fettke - Artificial Intelligence Review, 2022 - Springer
Process mining enables the reconstruction and evaluation of business processes based on
digital traces in IT systems. An increasingly important technique in this context is process …

Process science in action: A literature review on process mining in business management

P Zerbino, A Stefanini, D Aloini - Technological Forecasting and Social …, 2021 - Elsevier
Process Mining is a new kind of Business Analytics and has emerged as a powerful family of
Process Science techniques for analysing and improving business processes. Although …

Deep learning for predictive business process monitoring: Review and benchmark

E Rama-Maneiro, JC Vidal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …

Predictive business process monitoring via generative adversarial nets: the case of next event prediction

F Taymouri, ML Rosa, S Erfani, ZD Bozorgi… - … Conference, BPM 2020 …, 2020 - Springer
Predictive process monitoring aims to predict future characteristics of an ongoing process
case, such as case outcome or remaining timestamp. Recently, several predictive process …

[HTML][HTML] Business process variant analysis: Survey and classification

F Taymouri, M La Rosa, M Dumas, FM Maggi - Knowledge-Based Systems, 2021 - Elsevier
It is common for business processes to exhibit a high degree of internal heterogeneity, in the
sense that the executions of the process differ widely from each other due to contextual …

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 …

Prescriptive process monitoring for cost-aware cycle time reduction

ZD Bozorgi, I Teinemaa, M Dumas… - … on process mining …, 2021 - ieeexplore.ieee.org
Reducing cycle time is a recurrent concern in the field of business process management.
Depending on the process, various interventions may be triggered to reduce the cycle time …

From process mining to augmented process execution

D Chapela-Campa, M Dumas - Software and Systems Modeling, 2023 - Springer
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance of …

A multi-view deep learning approach for predictive business process monitoring

V Pasquadibisceglie, A Appice… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The predictive business process monitoring is a family of online approaches to predict the
unfolding of running traces based on the knowledge learned from historical event logs. In …

Object-centric process predictive analytics

R Galanti, M De Leoni, N Navarin, A Marazzi - Expert Systems with …, 2023 - Elsevier
Object-centric processes (also known as Artifact-centric processes) are implementations of a
paradigm where an instance of one process is not executed in isolation but interacts with …