Data-driven Root Cause Analysis

Data-Driven Root Cause Analysis is a systematic analytical method within root cause analysis that distinguishes itself by relying primarily on empirical data and quantitative evidence to identify, validate, and trace causal relationships underlying a problem or failure.

57

Publications

2.5K

Citations

237

Authors

84

Institutions

Publications per year

2017–2026

39

Authors

237

  1. KM
    Keyur Muzumdar

    Meta (United States), United States

    3 publications · 54 citations

    3

    h-index

  2. SS
    Sriram Sankar

    Meta (United States), United States

    3 publications · 54 citations

    3

    h-index

  3. MC
    Mihai-Valentin Curelea

    Meta (United States), United States

    3 publications · 54 citations

    3

    h-index

  4. SL
    Seunghak Lee

    Carnegie Mellon University, United States

    3 publications · 54 citations

    3

    h-index

  5. NL
    Nikolay Laptev

    Yahoo (United States), United States

    3 publications · 54 citations

    3

    h-index

1–5 of 237

Venues

  1. Reliability Engineering & System Safety

    2 publications · 84 citations

    2

    h-index

  2. International Journal of Production Research

    2 publications · 82 citations

    2

    h-index

  3. Journal of Intelligent Manufacturing

    2 publications · 102 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 95 citations

    2

    h-index

  5. IEEE Access

    2 publications · 29 citations

    2

    h-index

1–5