Inductive Process Mining

Inductive Process Mining is a process discovery method that constructs a process model by recursively partitioning event log data into decomposable substructures, thereby guaranteeing soundness and scalability through a divide-and-conquer approach.

21

Publications

1.1K

Citations

69

Authors

33

Institutions

Publications per year

2017–2026

13

Authors

69

  1. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    3 publications · 279 citations

    3

    h-index

  2. ER
    Elio Ribeiro Faria

    Centro Universitário de União da Vitória, Brazil

    1 publications · 336 citations

    1

    h-index

  3. CA
    Camilo Alvarez

    Pontificia Universidad Católica de Chile, Chile

    1 publications · 86 citations

    1

    h-index

  4. CZ
    Chi Zhang

    Kedge Business School, France

    1 publications · 11 citations

    1

    h-index

  5. MO
    Mohamed-Salah Ouali

    Polytechnique Montréal, Canada

    1 publications · 55 citations

    1

    h-index

1–5 of 69

Venues

  1. Journal of Intelligent Manufacturing

    1 publications · 55 citations

    1

    h-index

  2. IOP Conference Series Earth and Environmental Science

    EES · Conference · 1 publications · 23 citations

    1

    h-index

  3. International Journal of Production Research

    1 publications · 14 citations

    1

    h-index

  4. Information

    1 publications · 36 citations

    1

    h-index

  5. 1

    h-index

1–5