Task Mining

Task Mining is a data-driven analytical method that captures and reconstructs granular user interactions with digital systems to model task workflows, distinguishing itself from broader process mining techniques by focusing on fine-grained, individual-level activities performed within software applications.

75

Publications

2.5K

Citations

239

Authors

98

Institutions

Publications per year

2017–2026

30

Authors

239

  1. AP
    Artem Polyvyanyy

    The University of Melbourne, Australia

    3 publications · 173 citations

    3

    h-index

  2. ML
    Marcello La Rosa

    University of Tartu, Estonia

    3 publications · 173 citations

    3

    h-index

  3. RS
    Riyanarto Sarno

    Sepuluh Nopember Institute of Technology, Indonesia

    3 publications · 72 citations

    3

    h-index

  4. KR
    Kelly Rossa Sungkono

    Sepuluh Nopember Institute of Technology, Indonesia

    3 publications · 72 citations

    3

    h-index

  5. MD
    Marlon Dumas

    University of Tartu, Estonia

    3 publications · 173 citations

    3

    h-index

1–5 of 239

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 37 citations

    2

    h-index

  2. Information Systems

    2 publications · 26 citations

    2

    h-index

  3. Information Sciences

    2 publications · 40 citations

    2

    h-index

  4. 2

    h-index

  5. ACM Transactions on Knowledge Discovery from Data

    TKDD · 1 publications · 41 citations

    1

    h-index

1–5