Heuristic Mining

Heuristic Mining is a process discovery method that constructs process models from event logs by leveraging frequency-based heuristics to identify causal dependencies between activities, distinguishing itself from other process mining techniques through its robustness to noise and incompleteness in the data.

34

Publications

1.7K

Citations

93

Authors

38

Institutions

Publications per year

2017–2026

17

Authors

93

  1. AS
    Alessandro Sperduti

    University of Padua, Italy

    3 publications · 157 citations

    3

    h-index

  2. AB
    Andrea Burattin

    Technical University of Denmark, Denmark

    3 publications · 157 citations

    3

    h-index

  3. RS
    Riyanarto Sarno

    Sepuluh Nopember Institute of Technology, Indonesia

    3 publications · 85 citations

    3

    h-index

  4. WM
    Wil M. P. van der Aalst

    Eindhoven University of Technology, Netherlands

    3 publications · 154 citations

    3

    h-index

  5. WP
    Wichian Premchaiswadi

    Siam University, Thailand

    2 publications · 49 citations

    2

    h-index

1–5 of 93

Venues

  1. TU/e Research Portal

    Repository · 2 publications · 455 citations

    2

    h-index

  2. IEEE Access

    1 publications · 11 citations

    1

    h-index

  3. 1

    h-index

  4. Business Process Management Journal

    BPMJ · 1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5