Skip to main content
← Back to work

Works cited by this work

28 works

Work: Energy-Efficient Self-Supervised Technique to Identify Abnormal User Over 5G Network for E-Commerce

  1. A review of novelty detection

    Marco A. F. Pimentel, David A. Clifton, Lei Clifton +1

    Review article20142 citations
    ABI
  2. Fraud detection system: A survey

    Aisha Abdallah, Mohd Aizaini Maarof, Anazida Zainal

    Article20162 citations
    ABI
  3. Survey on Anomaly Detection using Data Mining Techniques

    Shikha Agrawal, Jitendra Agrawal

    Article20152 citations
    ABI
  4. Untitled

    Other1 citations
    ABI
  5. Untitled

    Other1 citations
    ABI
  6. Untitled

    Other1 citations
    ABI
  7. Untitled

    Other1 citations
    ABI
  8. Untitled

    Other1 citations
    ABI
  9. Untitled

    Other1 citations
    ABI
  10. Untitled

    Other1 citations
    ABI
  11. Untitled

    Other1 citations
    ABI
  12. Untitled

    Other1 citations
    ABI
  13. Untitled

    Other1 citations
    ABI
  14. Untitled

    Other1 citations
    ABI
  15. Untitled

    Other1 citations
    ABI
  16. Untitled

    Other1 citations
    ABI
  17. Untitled

    Other1 citations
    ABI
  18. Untitled

    Other1 citations
    ABI
  19. Untitled

    Other1 citations
    ABI
  20. Untitled

    Other1 citations
    ABI
  21. Untitled

    Other1 citations
    ABI
  22. Untitled

    Other1 citations
    ABI
  23. Untitled

    Other1 citations
    ABI
  24. Untitled

    Other1 citations
    ABI
  25. Untitled

    Other1 citations
    ABI