TU Darmstadt / ULB / TUbiblio

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

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

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
Type of entry: Bibliographie
Title: DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks
Language: English
Date: 3 June 2020
Publisher: Springer
Event Title: 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020)
Event Location: virtual Conference
Event Dates: 08.-12.06.
DOI: 10.1007/978-3-030-49435-3_20
URL / URN: 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)

Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
Date Deposited: 08 Sep 2020 08:27
Last Modified: 08 Sep 2020 08:27
PPN:
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