TU Darmstadt / ULB / TUbiblio

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

Nolle, Timo and Seeliger, Alexander and Thoma, Nils and Mühlhäuser, Max Dustdar, Schahram and Yu, Eric and Salinesi, Camille and Rieu, Dominique and 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 and Yu, Eric and Salinesi, Camille and Rieu, Dominique and Pant, Vik
Creators: Nolle, Timo and Seeliger, Alexander and Thoma, Nils and 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)

Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details