"Machine Learning Techniques for Anomalies Detection and Classification."

Amira Sayed Abdel-Aziz et al. (2013)

> Home

Details and statistics

DOI: 10.1007/978-3-642-40597-6_19

access: closed

type: Conference or Workshop Paper

metadata version: 2021-05-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/secnet/Abdel-AzizHAH13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/secnet/Abdel-AzizHAH13
Amira Sayed Abdel-Aziz, Aboul Ella Hassanien, Ahmad Taher Azar, Sanaa El-Ola Hanafi:
Machine Learning Techniques for Anomalies Detection and Classification. SecNet 2013: 219-229

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.