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Carte multi-relational approach to spatial classifiers Richard Frank

multi-relational approach to spatial classifiers

Autor: Richard Frank
Limbă: engleză
Legare: Carte broșată
Editura: VDM Verlag
Disponibilitate: La editor doar la comandă
Expediem în 17-27 zile
304.48 lei
A spatial classifier is a model used to predict class labels for spatial entities based on their fea...

Informații despre carte

Autor
Richard Frank
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2010
Pagini
132
EAN
9783639307450
ISBN
3639307453
Enbook ID
06837687
Editura
VDM Verlag
Greutate
204
Dimensiuni
152 x 229 x 8

Descriere completă

A spatial classifier is a model used to predict class labels for spatial entities based on their features, relationships to other entities and their corresponding features. One way to classify spatial data is to use a multi-relational framework, by transforming the spatial problem into a multi-relational one, and then applying existing methods. This transformation poses new problems. First, the spatial relationships are unknown, and the algorithm needs to determine which relationships and spatial features are important. Second, the effect of a single spatial entity is negligible when in the neighbourhood of thousands of other such entities, hence aggregation must be used. Third, properties of neighbourhoods, such as spatial trends, need to be described and used for classification purposes. Finally, the cost incurred in this transformation is not negligible, hence efficiency must be considered. This book addresses all of these problems with a novel spatial classifier called UnMASC. All of the modifications introduced with UnMASC in this book are explored theoretically and evaluated on a real live dataset.

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