"Clustering-based real-time anomaly detection - A breakthrough in big data ..."

Riyaz Ahamed Ariyaluran Habeeb et al. (2022)

> Home

Details and statistics

DOI: 10.1002/ETT.3647

access: closed

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ett/HabeebNGAHAI22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ett/HabeebNGAHAI22
Riyaz Ahamed Ariyaluran Habeeb, Fariza Nasaruddin, Abdullah Gani, Mohamed Ahzam Amanullah, Ibrahim Abaker Targio Hashem, Ejaz Ahmed, Muhammad Imran:
Clustering-based real-time anomaly detection - A breakthrough in big data technologies. Trans. Emerg. Telecommun. Technol. 33(8) (2022)

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.