Learning accurate LSTM models of business processes
Deep learning techniques have recently found applications in the field of predictive business
process monitoring. These techniques allow us to predict, among other things, what will be …
process monitoring. These techniques allow us to predict, among other things, what will be …
Business process improvement with the AB-BPM methodology
A fundamental assumption of Business Process Management (BPM) is that redesign
delivers refined and improved versions of business processes. This assumption, however …
delivers refined and improved versions of business processes. This assumption, however …
[HTML][HTML] Mining association rules for anomaly detection in dynamic process runtime behavior and explaining the root cause to users
K Böhmer, S Rinderle-Ma - Information Systems, 2020 - Elsevier
Detecting anomalies in process runtime behavior is crucial: they might reflect, on the one
side, security breaches and fraudulent behavior and on the other side desired deviations …
side, security breaches and fraudulent behavior and on the other side desired deviations …
Assessing the performance of remaining time prediction methods for business processes
The prediction of the remaining time for business processes is a major task in predictive
process monitoring (PPM). In the last years, various machine learning methods were …
process monitoring (PPM). In the last years, various machine learning methods were …
[PDF][PDF] Evaluating quality of event data within event logs: an extensible framework
R Verhulst - Eindhoven University of Technology: Eindhoven, The …, 2016 - research.tue.nl
Event data is the main element of process mining. The quality of this data is crucial for the
results obtained through process mining and event data analysis. Lots of information about …
results obtained through process mining and event data analysis. Lots of information about …
Automatic conversion of event data to event logs using cnn and event density embedding
In process mining, converting event data to event logs is related to the quality of analysis
results. In general, to convert event data into event logs, it is necessary to identify process …
results. In general, to convert event data into event logs, it is necessary to identify process …
A survey of process mining competitions: the BPI challenges 2011–2018
IF Lopes, DR Ferreira - … Workshops, Vienna, Austria, September 1–6 …, 2019 - Springer
In recent years, several advances in the field of process mining, and even data science in
general, have come from competitions where participants are asked to analyze a given …
general, have come from competitions where participants are asked to analyze a given …
Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support
Process mining can help organizations by extracting knowledge from event logs. However,
process mining techniques often assume business processes are stationary, while actual …
process mining techniques often assume business processes are stationary, while actual …
PLI-Assess: A Behavior Profile-Based Approach for Privacy-Preserving Log Assessment
G Wang, H Fang - IEEE Access, 2023 - ieeexplore.ieee.org
Event logs of business processes provide a valuable starting point for process mining, and
high-quality event logs can significantly enhance the quality of process mining. However …
high-quality event logs can significantly enhance the quality of process mining. However …
AB-BPM: performance-driven instance routing for business process improvement
A fundamental assumption of Business Process Management (BPM) is that redesign
delivers new and improved versions of business processes. This assumption, however …
delivers new and improved versions of business processes. This assumption, however …