LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks
In: Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, Jg. 468 (2023), S. 229-241
Online
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Zugriff:
Titel: |
LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks
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Autor/in / Beteiligte Person: | Lahann, Johannes ; Pfeiffer, Peter ; Fettke, Peter ; van der Aalst, Wil, Series Editor ; Ram, Sudha, Series Editor ; Rosemann, Michael, Series Editor ; Szyperski, Clemens, Series Editor ; Guizzardi, Giancarlo, Series Editor ; Montali, Marco [Ed.] ; Senderovich, Arik [Ed.] ; Weidlich, Matthias [Ed.] |
Zeitschrift: | Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, Jg. 468 (2023), S. 229-241 |
Veröffentlichung: | 2023 |
Medientyp: | E-Book |
ISBN: | 978-3-031-27814-3 (print) ; 978-3-031-27815-0 (print) |
DOI: | 10.1007/978-3-031-27815-0_17 |
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