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DeepAlign: Alignment-based Process Anomaly Correction using Recurrent
  Neural Networks

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks

29 November 2019
Timo Nolle
Alexander Seeliger
Nils Thoma
M. Mühlhäuser
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Papers citing "DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks"

2 / 2 papers shown
Title
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale
Marco Pegoraro
W. V. Aalst
Nicola Mazzocca
103
1
0
17 Feb 2025
Analyzing Business Process Anomalies Using Autoencoders
Analyzing Business Process Anomalies Using Autoencoders
Timo Nolle
Stefan Luettgen
Alexander Seeliger
M. Mühlhäuser
43
87
0
03 Mar 2018
1