Log Parsing

Log Parsing is the process of structuring unstructured log data by identifying and extracting semantic elements, such as templates and parameters, to transform raw log messages into a machine-readable format for analysis and management.

94

Publications

6.5K

Citations

287

Authors

111

Institutions

Publications per year

2017–2026

67

Authors

287

  1. PH
    Pinjia He

    Chinese University of Hong Kong, Shenzhen, China

    10 publications · 2.1K citations

    11

    h-index

  2. MR
    Michael R. Lyu

    Chinese University of Hong Kong, Hong Kong SAR China

    9 publications · 2K citations

    10

    h-index

  3. SH
    Shilin He

    Chinese University of Hong Kong, Hong Kong SAR China

    8 publications · 1.2K citations

    8

    h-index

  4. JZ
    Jieming Zhu

    Huawei Technologies (China), China

    7 publications · 1.9K citations

    7

    h-index

  5. ST
    Shimin Tao

    Huawei Technologies (China), China

    4 publications · 135 citations

    5

    h-index

1–5 of 287

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 147 citations

    4

    h-index

  2. 3

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 179 citations

    2

    h-index

  4. IEEE Access

    2 publications · 34 citations

    2

    h-index

  5. 2

    h-index

1–5