Session Clustering

Session Clustering is a computational method that partitions temporally coherent user interaction sequences into distinct groups based on behavioral similarity, enabling the identification of recurring patterns in session-based data.

53

Publications

1.7K

Citations

148

Authors

66

Institutions

Publications per year

2017–2026

6

Authors

148

  1. AJ
    Anupam Joshi

    University of Maryland, Baltimore County, United States

    3 publications · 218 citations

    3

    h-index

  2. ZA
    Zahid Ansari

    Aligarh Muslim University, India

    2 publications · 59 citations

    2

    h-index

  3. MM
    Marco Mellia

    Politecnico di Torino, Italy

    2 publications · 53 citations

    2

    h-index

  4. DS
    Dilip Singh Sisodia

    National Institute of Technology Raipur, India

    2 publications · 25 citations

    2

    h-index

  5. MT
    M. TAMER ÖZSU

    University of Waterloo, Canada

    2 publications · 202 citations

    2

    h-index

1–5 of 148

Venues

  1. IEEE Access

    2 publications · 28 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 1 publications · 29 citations

    1

    h-index

  5. WWW (Posters)

    1 publications · 10 citations

    1

    h-index

1–5