Distributed Spatial Data Mining
Distributed Spatial Data Mining is a computational paradigm within spatial data mining that leverages distributed systems to process and analyze spatial datasets partitioned across multiple nodes, distinguished by its emphasis on scalability, parallelism, and coordination of spatial analysis tasks in a decentralized computing environment.
14
Publications
332
Citations
40
Authors
17
Institutions
Publications per year
2017–2026
7
Parents
14
Distributed Mining of Spatio-Temporal Event Patterns in Sensor Networks
Kay Römer · 2007 · 55 citations
Distributed clustering algorithm for spatial data mining
Malika Bendechache · 2015 · 44 citations · Full text
1–5 of 14
40
1
h-index
1 publications · 10 citations
1
h-index
1
h-index
Kazan State Technical University named after A. N. Tupolev, Russia
1 publications · 15 citations
1
h-index
1
h-index
1–5 of 40
17
Salisbury University
Salisbury, United States
1 h-index
1 publications
11 citations

Birla Institute of Technology and Science, Pilani
Pilāni, India
1 h-index
6 publications
144 citations
George Mason University
Fairfax, United States
1 h-index
2 publications
22 citations

Poznań University of Technology
Poznan, Poland
1 h-index
2 publications
74 citations
National Institute of Technology Warangal
Warangal, India
1 h-index
2 publications
28 citations
Wonkwang University
Iksan, South Korea
1 h-index
2 publications
28 citations
Shangdong Agriculture and Engineering University
Jinan, China
1 h-index
1 publications
14 citations
University of Science and Technology
Aden, Yemen
1 h-index
1 publications
31 citations
1–8 of 17
IJGI · 1 publications · 12 citations
1
h-index
1 publications · 31 citations
1
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Repository · 1 publications · 28 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 11 citations
1
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1–5