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DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks

Nolle, Timo ; Seeliger, Alexander ; Thoma, Nils ; Mühlhäuser, Max
Dustdar, Schahram ; Yu, Eric ; Salinesi, Camille ; Rieu, Dominique ; Pant, Vik (eds.) (2020):
DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks.
pp. 319-333, Springer, 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020), virtual Conference, 08.-12.06., ISSN 0302-9743, ISBN 978-3-030-49434-6,
DOI: 10.1007/978-3-030-49435-3_20,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Editors: Dustdar, Schahram ; Yu, Eric ; Salinesi, Camille ; Rieu, Dominique ; Pant, Vik
Creators: Nolle, Timo ; Seeliger, Alexander ; Thoma, Nils ; Mühlhäuser, Max
Title: DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks
Language: English
Publisher: Springer
ISBN: 978-3-030-49434-6
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Event Title: 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020)
Event Location: virtual Conference
Event Dates: 08.-12.06.
Date Deposited: 08 Sep 2020 08:27
DOI: 10.1007/978-3-030-49435-3_20
Official URL: https://doi.org/10.1007/978-3-030-49435-3_20
Additional Information:

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12127)

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