Behavioral Pattern Discovery

Behavioral Pattern Discovery is a data mining technique that identifies recurring and statistically significant sequences of user interactions within clickstream data to infer underlying user behavior models.

368

Publications

15.4K

Citations

1.1K

Authors

444

Institutions

Publications per year

2017–2026

90

Authors

1.1K

  1. MM
    Md. Mamunur Rashid

    Federation University, Australia

    4 publications · 106 citations

    4

    h-index

  2. IG
    Iqbal Gondal

    Federation University, Australia

    4 publications · 106 citations

    4

    h-index

  3. JK
    Joarder Kamruzzaman

    Federation University, Australia

    4 publications · 106 citations

    4

    h-index

  4. FM
    Florent Masséglia

    Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, France

    4 publications · 94 citations

    4

    h-index

  5. MM
    Michal Munk

    Constantine the Philosopher University in Nitra, Slovakia

    4 publications · 183 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. Expert Systems with Applications

    8 publications · 223 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 241 citations

    7

    h-index

  3. Procedia Computer Science

    5 publications · 184 citations

    5

    h-index

  4. IEEE Access

    5 publications · 110 citations

    5

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 309 citations

    4

    h-index

1–5