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A multi-relational approach to spatial classifiers - Introducing UnMASC: a Unified Multi-relational Aggregation-based Spatial Classifier - Frank, Richard
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Frank, Richard:
A multi-relational approach to spatial classifiers - Introducing UnMASC: a Unified Multi-relational Aggregation-based Spatial Classifier - Livres de poche

2010, ISBN: 9783639307450

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 132, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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A multi-relational approach to spatial classifiers - Richard Frank
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Richard Frank:
A multi-relational approach to spatial classifiers - Livres de poche

ISBN: 9783639307450

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x8 mm, 132, [GW: 213g], PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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A multi-relational approach to spatial classifiers - Frank, Richard
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Frank, Richard:
A multi-relational approach to spatial classifiers - livre d'occasion

ISBN: 9783639307450

ID: t06823n132982T516818T6T1

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., [PU: VDM Verlag Dr. Müller], [CT: Varia]

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A Multi-Relational Approach To Spatial Classifiers - Richard Frank
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Richard Frank:
A Multi-Relational Approach To Spatial Classifiers - Livres de poche

ISBN: 9783639307450

ID: 9783639307450

A Multi-Relational Approach To Spatial Classifiers A-multi-relational-approach-to-spatial-classifiers~~Richard-Frank Science>Science Writing & Ref>Science Writing & Ref Paperback, VDM Verlag

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A multi-relational approach to spatial classifiers Introducing UnMASC: a Unified Multi-relational Aggregation-based Spatial Classifier - Frank, Richard
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Frank, Richard:
A multi-relational approach to spatial classifiers Introducing UnMASC: a Unified Multi-relational Aggregation-based Spatial Classifier - nouveau livre

2010, ISBN: 3639307453

ID: A12491308

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:VDM Verlag]

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Détails sur le livre
A multi-relational approach to spatial classifiers

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.

Informations détaillées sur le livre - A multi-relational approach to spatial classifiers


EAN (ISBN-13): 9783639307450
ISBN (ISBN-10): 3639307453
Version reliée
Livre de poche
Date de parution: 2010
Editeur: VDM Verlag
132 Pages
Poids: 0,213 kg
Langue: eng/Englisch

Livre dans la base de données depuis 26.12.2007 06:21:59
Livre trouvé récemment le 21.02.2018 14:15:51
ISBN/EAN: 9783639307450

ISBN - Autres types d'écriture:
3-639-30745-3, 978-3-639-30745-0


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