Книга multi-relational approach to spatial classifiers Richard Frank

multi-relational approach to spatial classifiers

Автор: Richard Frank
Език: Английски език
Корици: С меки корици
Издател: VDM Verlag
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
61.15 119.60 лв
A spatial classifier is a model used to predict class labels for spatial entities based on their fea...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2010
страници
132
EAN
9783639307450
ISBN
3639307453
Enbook ID
06837687
Издател
Теглоt
204
Размери
152 x 229 x 8

Пълно описание

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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