A systematic literature review on state-of-the-art deep learning methods for process prediction
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 …
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
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 …
Process Science techniques for analysing and improving business processes. Although …
Deep learning for predictive business process monitoring: Review and benchmark
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 …
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
Predictive process monitoring aims to predict future characteristics of an ongoing process
case, such as case outcome or remaining timestamp. Recently, several predictive process …
case, such as case outcome or remaining timestamp. Recently, several predictive process …
[HTML][HTML] Business process variant analysis: Survey and classification
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 …
sense that the executions of the process differ widely from each other due to contextual …
Explainability in predictive process monitoring: when understanding helps improving
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 …
future state of the executions of a business process, as for instance the remaining execution …
Prescriptive process monitoring for cost-aware cycle time reduction
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 …
Depending on the process, various interventions may be triggered to reduce the cycle time …
From process mining to augmented process execution
Business process management (BPM) is a well-established discipline comprising a set of
principles, methods, techniques, and tools to continuously improve the performance of …
principles, methods, techniques, and tools to continuously improve the performance of …
A multi-view deep learning approach for predictive business process monitoring
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 …
unfolding of running traces based on the knowledge learned from historical event logs. In …
Object-centric process predictive analytics
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 …
paradigm where an instance of one process is not executed in isolation but interacts with …