ListarFacultad Regional Concep. del Uruguay por tema "Spatial data mining"
Mostrando ítems 1-3 de 3
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Co-location rules discovery process focused on reference spatial features using decision tree learning
(2017)The co-location discovery process serves to find subsets of spatial features frequently located together. Many algorithms and methods have been designed in recent years; however, finding this kind of patterns around specific ... -
Knowledge discovery process for description of spatially referenced clusters
(2017)Spatial clustering is an important field of spatial data mining and knowledge discovery that serves to partition a spatial data set to obtain disjoint subsets with spatial elements that are similar to each other. Existing ... -
Knowledge discovery process for detection of spatial outliers
(2018)Detection of spatial outliers is a spatial data mining task aimed at discovering data observations that differ from other data observations within its spatial neighborhood. Some considerations that depend on the problem ...