Movement Pattern Discovery

Movement Pattern Discovery is a trajectory analysis method that identifies recurring spatiotemporal behaviors in movement data by distinguishing meaningful sequential structures from noise and outliers.

126

Publications

5.3K

Citations

415

Authors

207

Institutions

Publications per year

2017–2026

34

Authors

415

  1. PL
    Patrick Laube

    University of Zurich, Switzerland

    4 publications · 310 citations

    4

    h-index

  2. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    4 publications · 222 citations

    4

    h-index

  3. JG
    Joachim Gudmundsson

    Data61, Australia

    4 publications · 511 citations

    4

    h-index

  4. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    4 publications · 222 citations

    4

    h-index

  5. JA
    José Antônio Fernandes de Macêdo

    Universidade Federal do Ceará, Brazil

    3 publications · 88 citations

    3

    h-index

1–5 of 415

Venues

  1. 8

    h-index

  2. Data & Knowledge Engineering

    DKE · 4 publications · 247 citations

    4

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 124 citations

    3

    h-index

  4. 3

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 159 citations

    2

    h-index

1–5