Location Sequence Mining

Location Sequence Mining is a data mining technique that identifies frequent and meaningful sequences of geographic locations visited by individuals or groups over time, distinguishing it from other mobility analysis methods by focusing on the temporal order and recurrence of spatial transitions.

33

Publications

4.4K

Citations

101

Authors

52

Institutions

Publications per year

2017–2026

12

Authors

101

  1. YZ
    Yu Zheng

    Microsoft Research Asia (China), China

    4 publications · 3.1K citations

    4

    h-index

  2. XX
    Xing Xie

    Microsoft Research Asia (China), China

    3 publications · 3.1K citations

    3

    h-index

  3. CP
    Christian Poellabauer

    University of Notre Dame, United States

    3 publications · 122 citations

    3

    h-index

  4. HH
    Hsun-Ping Hsieh

    National Taiwan University, Taiwan

    3 publications · 142 citations

    3

    h-index

  5. CL
    Cheng–Te Li

    National Taiwan University, Taiwan

    3 publications · 142 citations

    3

    h-index

1–5 of 101

Venues

  1. IEEE Access

    3 publications · 40 citations

    3

    h-index

  2. ACM Transactions on Intelligent Systems and Technology

    TIST · 2 publications · 114 citations

    2

    h-index

  3. 1

    h-index

  4. Sensors

    1 publications · 16 citations

    1

    h-index

  5. Computers Environment and Urban Systems

    1 publications · 22 citations

    1

    h-index

1–5