"Unsupervised Anomaly Detection for Communication Networks: An Autoencoder ..."

Pieter Bonte et al. (2020)

> Home

Details and statistics

DOI: 10.1007/978-3-030-66770-2_12

access: closed

type: Conference or Workshop Paper

metadata version: 2021-04-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/pkdd/BonteHLLTHO20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/pkdd/BonteHLLTHO20
Pieter Bonte, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach. IoT Streams/ITEM@PKDD/ECML 2020: 160-172

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.