Publication:

Unsupervised anomaly detection for communication networks: An autoencoder approach

Date

2020
Proceedings Paper
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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.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.accessioned2021-10-28T20:26:22Z
dc.date.available2021-10-28T20:26:22Z
dc.date.embargo9999-12-31
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34801
dc.source.beginpage160
dc.source.conferenceIoTStreams2020, workshop of ECML/PKDD 2020
dc.source.conferencedate14/09/2020
dc.source.conferencelocationGhent Belgium
dc.source.endpage172
dc.title

Unsupervised anomaly detection for communication networks: An autoencoder approach

dc.typeProceedings paper
dspace.entity.typePublication
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