Log Enrichment

Log Enrichment is a log management process that enhances raw log data by appending contextual metadata—such as user identity, geolocation, system state, or event severity—from external sources to improve the interpretability, correlation, and analytical utility of logs within containerized environments.

2

Publications

99

Citations

27

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

27

  1. DB
    David Balli

    Bristol-Myers Squibb (United States), United States

    1 publications · 75 citations

    1

    h-index

  2. NB
    Neha Bhagwat

    Memorial Sloan Kettering Cancer Center, United States

    1 publications · 75 citations

    1

    h-index

  3. ST
    Susan T. Mashiyama

    University of California, San Francisco, United States

    1 publications · 24 citations

    1

    h-index

  4. LY
    Liping Yu

    East China Normal University, China

    1 publications · 75 citations

    1

    h-index

  5. SS
    Stephanie S. Yee

    University of Pennsylvania, United States

    1 publications · 75 citations

    1

    h-index

1–5 of 27

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 1 publications · 24 citations

    1

    h-index

  2. Scientific Reports

    1 publications · 75 citations

    1

    h-index

1–2