Log Data Validation

Log Data Validation is a methodological process within log quality control that verifies the accuracy, completeness, and consistency of log data by identifying and correcting errors, irregularities, or discrepancies against predefined syntactic, semantic, and contextual rules.

31

Publications

1.8K

Citations

122

Authors

51

Institutions

Publications per year

2017–2026

14

Authors

122

  1. BN
    Baozhuang Niu

    South China University of Technology, China

    2 publications · 68 citations

    2

    h-index

  2. SB
    Stephen Butt

    Memorial University of Newfoundland, Canada

    2 publications · 138 citations

    2

    h-index

  3. GK
    Gregory K. W. K. Chung

    University of California, Los Angeles, United States

    1 publications · 18 citations

    1

    h-index

  4. SI
    Syed Istiyak Ahmed

    The University of Texas Rio Grande Valley, United States

    1 publications · 26 citations

    1

    h-index

  5. YO
    Yoshimasa Ohnishi

    Kyushu Institute of Technology, Japan

    1 publications · 15 citations

    1

    h-index

1–5 of 122

Venues

  1. Computers in Human Behavior

    1 publications · 426 citations

    1

    h-index

  2. 1

    h-index

  3. Geothermics

    1 publications · 16 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5