Téléchargez le livre : Information Quality in Information Fusion and Decision Making

Information Quality in Information Fusion and Decision Making

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Éditeur :

Springer


Collection :

Information Fusion and Data Science

Paru le : 2019-04-02

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Description

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is.
By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making for researchers and professionals in the field.
Pages
620 pages
Collection
Information Fusion and Data Science
Parution
2019-04-02
Marque
Springer
EAN papier
9783030036423
EAN PDF
9783030036430
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
62
Taille du fichier
17940 Ko
Prix
158,24 €
EAN EPUB
9783030036430
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
62
Taille du fichier
61133 Ko
Prix
158,24 €

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