Spatial Pattern Mining

Spatial Pattern Mining is a data mining methodology that identifies and extracts non-trivial, recurring, and meaningful spatial relationships or configurations from geographic datasets, distinguished by its focus on the topological, geometric, and positional characteristics of spatially referenced data.

325

Publications

18K

Citations

793

Authors

350

Institutions

Publications per year

2017–2026

115

Authors

793

  1. LW
    Lizhen Wang

    Yunnan University, China

    25 publications · 839 citations

    19

    h-index

  2. SS
    Shashi Shekhar

    University of Minnesota, United States

    13 publications · 610 citations

    12

    h-index

  3. YH
    Yan Huang

    University of North Texas, United States

    9 publications · 1.2K citations

    9

    h-index

  4. JS
    Jin Soung Yoo

    University of Minnesota, United States

    9 publications · 900 citations

    9

    h-index

  5. MÇ
    Mete Çelik

    Erciyes University, Türkiye

    9 publications · 412 citations

    9

    h-index

1–5 of 793

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 13 publications · 2.9K citations

    13

    h-index

  2. Expert Systems with Applications

    12 publications · 519 citations

    12

    h-index

  3. 11

    h-index

  4. Information Sciences

    11 publications · 541 citations

    10

    h-index

  5. ISPRS International Journal of Geo-Information

    IJGI · 5 publications · 196 citations

    5

    h-index

1–5