"Improving PCA-based anomaly detection by using multiple time scale ..."

Christian Callegari et al. (2014)

> Home

Details and statistics

DOI: 10.1002/DAC.2432

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijcomsys/CallegariGGPP14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijcomsys/CallegariGGPP14
Christian Callegari, Loris Gazzarrini, Stefano Giordano, Michele Pagano, Teresa Pepe:
Improving PCA-based anomaly detection by using multiple time scale analysis and Kullback-Leibler divergence. Int. J. Commun. Syst. 27(10): 1731-1751 (2014)

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.