Web Usage Mining

Web Usage Mining is a subfield of Web Mining that involves the application of data mining techniques to discover patterns in user navigational behavior and interaction data collected from web servers, proxy logs, or other client-side sources, distinguishing it by its focus on analyzing usage patterns to understand and improve user experience on the web.

894

Publications

49.9K

Citations

2K

Authors

771

Institutions

Publications per year

2017–2026

93

Authors

2K

  1. BM
    Bamshad Mobasher

    DePaul University, United States

    19 publications · 4.9K citations

    17

    h-index

  2. JD
    Juan D. Velásquez

    University of Chile, Chile

    11 publications · 274 citations

    11

    h-index

  3. ON
    Olfa Nasraoui

    University of Louisville, United States

    11 publications · 948 citations

    10

    h-index

  4. MM
    Michal Munk

    Constantine the Philosopher University in Nitra, Slovakia

    7 publications · 228 citations

    7

    h-index

  5. JS
    Jaideep Srivastava

    University of Minnesota, United States

    7 publications · 5.2K citations

    7

    h-index

1–5 of 2K

Venues

  1. Expert Systems with Applications

    13 publications · 1.2K citations

    13

    h-index

  2. International Journal of Computer Applications

    18 publications · 456 citations

    13

    h-index

  3. arXiv (Cornell University)

    Repository · 10 publications · 252 citations

    10

    h-index

  4. Procedia Computer Science

    9 publications · 352 citations

    9

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 689 citations

    7

    h-index

1–5