Learning of process representations using recurrent neural networks
A Seeliger, S Luettgen, T Nolle… - … Conference on Advanced …, 2021 - Springer
In process mining, many tasks use a simplified representation of a single case to perform
tasks like trace clustering, anomaly detection, or subset identification. These representations …
tasks like trace clustering, anomaly detection, or subset identification. These representations …
VaryMinions: leveraging RNNs to identify variants in variability-intensive systems' logs
From business processes to course management, variability-intensive software systems
(VIS) are now ubiquitous. One can configure these systems' behaviour by activating options …
(VIS) are now ubiquitous. One can configure these systems' behaviour by activating options …
Exploiting cbow and lstm models to generate trace representation for process mining
In the field of process mining, one of the challenges of the trace representation problem is to
exploit a lot of potentially useful information within the traces while keeping a low dimension …
exploit a lot of potentially useful information within the traces while keeping a low dimension …
Discovering Structurally Simple Workflow Nets by Vector-Based Trace Clustering
C Barrón-Rubio… - 2021 18th International …, 2021 - ieeexplore.ieee.org
Nowadays, models play a relevant role in the analysis and monitoring of processes carried
out by organizations. Process discovery deals with the automated building of models from …
out by organizations. Process discovery deals with the automated building of models from …