Show simple item record

Unsupervised anomaly detection for communication networks: An autoencoder approach

dc.contributor.authorBonte, Pieter
dc.contributor.authorVanden Hautte, Sander
dc.contributor.authorLejon, A.
dc.contributor.authorLedoux, V.
dc.contributor.authorDe Turck, Filip
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorOngenae, Femke
dc.date.accessioned2021-10-28T20:26:22Z
dc.date.available2021-10-28T20:26:22Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34801
dc.sourceIIOimport
dc.titleUnsupervised anomaly detection for communication networks: An autoencoder approach
dc.typeProceedings paper
dc.contributor.imecauthorBonte, Pieter
dc.contributor.imecauthorVanden Hautte, Sander
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorOngenae, Femke
dc.contributor.orcidimecBonte, Pieter::0000-0002-8931-8343
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage160
dc.source.endpage172
dc.source.conferenceIoTStreams2020, workshop of ECML/PKDD 2020
dc.source.conferencedate14/09/2020
dc.source.conferencelocationGhent Belgium
imec.availabilityPublished - open access
imec.internalnotesISBN 978-3-030-66770-2


Files in this item

Thumbnail
Name:
47620.pdf
Size:
2.530Mb
Format:
PDF
View/open

This item appears in the following collection(s)

Show simple item record