Process Discovery Visualization

Process Discovery Visualization is a methodological framework within process visualization that enables the graphical representation and analysis of business processes directly derived from event logs through algorithmic inference, distinguishing itself by integrating discovery techniques with visual analytics to reveal process structures, behaviors, and deviations without prior process models.

5

Publications

342

Citations

25

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

25

  1. YA
    Younis Al-Anqoudi

    Sultan Qaboos University, Oman

    1 publications · 46 citations

    1

    h-index

  2. HP
    Hyunwoo Park

    Georgia Institute of Technology, United States

    1 publications · 50 citations

    1

    h-index

  3. MA
    Mohammed Al-Badawi

    Sultan Qaboos University, Oman

    1 publications · 46 citations

    1

    h-index

  4. AT
    Acar Tamersoy

    Georgia Institute of Technology, United States

    1 publications · 50 citations

    1

    h-index

  5. FL
    Francesco Leotta

    Sapienza University of Rome, Italy

    1 publications · 31 citations

    1

    h-index

1–5 of 25

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 50 citations

    1

    h-index

  2. Big Data and Cognitive Computing

    1 publications · 46 citations

    1

    h-index

  3. 1

    h-index

  4. TU/e Research Portal

    Repository · 1 publications · 182 citations

    1

    h-index

  5. Sustainability

    1 publications · 10 citations

1–5