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R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets
The rapid growth of big spatial data urged the research community to develop several big spatial data systems. Regardless of their architecture, one of the fundamental requirements of all these systems is to spatially partition the data efficiently across machines. The core challenges of big spatial...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931855/ https://www.ncbi.nlm.nih.gov/pubmed/33693401 http://dx.doi.org/10.3389/fdata.2020.00028 |