Sequence-based Segmentation

Sequence-Based Segmentation is a visitor segmentation method that classifies individuals based on the temporal order and pattern of their observed behaviors or interactions within a sequence of events, distinguishing it from attribute-based or frequency-based approaches by emphasizing chronological dynamics in the segmentation logic.

71

Publications

3.2K

Citations

229

Authors

114

Institutions

Publications per year

2017–2026

19

Authors

229

  1. IM
    I. Mora

    Universidad Carlos III de Madrid, Spain

    2 publications · 90 citations

    2

    h-index

  2. AK
    Ashraya Kumar Indrakanti

    University Medical Center Freiburg, Germany

    2 publications · 101 citations

    2

    h-index

  3. VN
    Valery Naranjo

    Universitat Politècnica de València, Spain

    2 publications · 90 citations

    2

    h-index

  4. GR
    Gerhard Rigoll

    Technical University of Munich, Germany

    2 publications · 31 citations

    2

    h-index

  5. FB
    F. Bartolini

    University of Florence, Italy

    2 publications · 51 citations

    2

    h-index

1–5 of 229

Venues

  1. Pattern Recognition Letters

    3 publications · 57 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 62 citations

    3

    h-index

  3. International Journal of Computer Vision

    2 publications · 238 citations

    2

    h-index

  4. Electronics Letters

    2 publications · 23 citations

    2

    h-index

  5. 2

    h-index

1–5