Log Normalization

Log Normalization is a log management method that systematically converts heterogeneous log entries into a consistent, standardized format to enable uniform analysis, interpretation, and correlation across diverse sources and systems.

42

Publications

3.3K

Citations

110

Authors

70

Institutions

Publications per year

2017–2026

20

Authors

110

  1. DF
    Dario Forte

    University of Milan, Italy

    2 publications · 35 citations

    2

    h-index

  2. XT
    Xin Tu

    University of Rochester, United States

    2 publications · 835 citations

    2

    h-index

  3. HW
    Hongyue Wang

    University of Rochester, United States

    2 publications · 835 citations

    2

    h-index

  4. CF
    Changyong Feng

    University of Rochester, United States

    2 publications · 835 citations

    2

    h-index

  5. NL
    Naiji Lu

    University of Rochester, United States

    2 publications · 835 citations

    2

    h-index

1–5 of 110

Venues

  1. Statistics in Medicine

    3 publications · 743 citations

    3

    h-index

  2. Environmental Monitoring and Assessment

    2 publications · 23 citations

    2

    h-index

  3. Computer Fraud & Security

    2 publications · 35 citations

    2

    h-index

  4. 1

    h-index

  5. American Journal of Neuroradiology

    AJNR · 1 publications · 31 citations

    1

    h-index

1–5