Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions
Business process compliance is a key area of business process management and aims at
ensuring that processes obey to compliance constraints such as regulatory constraints or …
ensuring that processes obey to compliance constraints such as regulatory constraints or …
[HTML][HTML] Machine learning in business process management: A systematic literature review
Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …
data without explicitly programming them. In business process management (BPM), ML …
Text-aware predictive process monitoring with contextualized word embeddings
Predictive process monitoring (PPM) is the discipline of exploiting event logs of business
processes to construct predictive models for anticipating different properties of running …
processes to construct predictive models for anticipating different properties of running …
Performance-preserving event log sampling for predictive monitoring
M Fani Sani, M Vazifehdoostirani, G Park… - Journal of Intelligent …, 2023 - Springer
Predictive process monitoring is a subfield of process mining that aims to estimate case or
event features for running process instances. Such predictions are of significant interest to …
event features for running process instances. Such predictions are of significant interest to …
Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model
Predictive Process Monitoring aims to predict the future information of ongoing process
executions by leveraging machine and deep learning techniques. One of the tasks is known …
executions by leveraging machine and deep learning techniques. One of the tasks is known …
On the potential of textual data for explainable predictive process monitoring
C Warmuth, H Leopold - International Conference on Process Mining, 2022 - Springer
Predictive process monitoring techniques leverage machine learning (ML) to predict future
characteristics of a case, such as the process outcome or the remaining run time. Available …
characteristics of a case, such as the process outcome or the remaining run time. Available …
Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?
K Brennig, K Benkert, B Löhr, O Müller - International Conference on …, 2023 - Springer
Predictive process monitoring (PPM) enables organizations to predict the behavior of
ongoing processes, eg, the lead time. This is of great interest for knowledge-intensive …
ongoing processes, eg, the lead time. This is of great interest for knowledge-intensive …
[PDF][PDF] Event log sampling for predictive monitoring
M Fani Sani, M Vazifehdoostirani, G Park… - … on Process Mining, 2021 - library.oapen.org
Predictive process monitoring is a subfield of process mining that aims to estimate case or
event features for running process instances. Such predictions are of significant interest to …
event features for running process instances. Such predictions are of significant interest to …
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
JV Benzin, S Rinderle-Ma - arXiv preprint arXiv:2302.04018, 2023 - arxiv.org
Event prediction is the ability of anticipating future events, ie, future real-world occurrences,
and aims to support the user in deciding on actions that change future events towards a …
and aims to support the user in deciding on actions that change future events towards a …
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring
An important task in predictive process monitoring is the prediction of the remaining time.
The accuracy of methods to solve this task has been steadily improved and verified during …
The accuracy of methods to solve this task has been steadily improved and verified during …