Location Prediction

Location Prediction is a spatial data mining task that involves determining the most probable future position of a moving entity based on historical spatial–temporal trajectories and contextual factors, distinguishing it from other predictive tasks by its focus on geographic coordinates as the primary output.

621

Publications

33.7K

Citations

1.9K

Authors

724

Institutions

Publications per year

2017–2026

287

Authors

1.9K

  1. SH
    Stathes Hadjiefthymiades

    National and Kapodistrian University of Athens, Greece

    7 publications · 241 citations

    7

    h-index

  2. CA
    Christos Anagnostopoulos

    University of Glasgow, United Kingdom

    7 publications · 241 citations

    7

    h-index

  3. SK
    Sajal K. Das

    The University of Texas at Arlington, United States

    6 publications · 391 citations

    6

    h-index

  4. JK
    John Krumm

    Microsoft (United States), United States

    6 publications · 334 citations

    6

    h-index

  5. XX
    Xing Xie

    Microsoft Research Asia (China), China

    5 publications · 337 citations

    5

    h-index

1–5 of 1.9K

Venues

  1. IEEE Access

    13 publications · 809 citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 290 citations

    12

    h-index

  3. Sensors

    9 publications · 220 citations

    10

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 10 publications · 854 citations

    10

    h-index

  5. ACM Transactions on Intelligent Systems and Technology

    TIST · 9 publications · 659 citations

    9

    h-index

1–5