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 …
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 …
Process mining for healthcare: Characteristics and challenges
Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …
logged during their execution. These techniques are leveraged in a wide range of domains …
[PDF][PDF] Predictive process monitoring
Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …
future of an ongoing (uncompleted) process execution. Typical examples of predictions of …
Predictive process monitoring methods: Which one suits me best?
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 …
in companies. However, with the growing body of research, it might be daunting for data …
Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …
of business processes at runtime. It helps identify problems before they occur and re …
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
Predictive business process monitoring methods exploit historical process execution logs to
generate predictions about running instances (called cases) of a business process, such as …
generate predictions about running instances (called cases) of a business process, such as …
Explainable predictive process monitoring
Predictive Business Process Monitoring is becoming an essential aid for organizations,
providing online operational support of their processes. This paper tackles the fundamental …
providing online operational support of their processes. This paper tackles the fundamental …
[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 …
Prescriptive process monitoring: Quo vadis?
Prescriptive process monitoring methods seek to optimize a business process by
recommending interventions at runtime to prevent negative outcomes or address poorly …
recommending interventions at runtime to prevent negative outcomes or address poorly …