Téléchargez le livre : Data Fusion Methodology and Applications

Data Fusion Methodology and Applications



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Éditeur :

Elsevier


Paru le : 2019-05-11



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Description
Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. - Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery - Includes comprehensible, theoretical chapters written for large and diverse audiences - Provides a wealth of selected application to the topics included
Pages
396 pages
Collection
n.c
Parution
2019-05-11
Marque
Elsevier
EAN papier
9780444639844
EAN EPUB SANS DRM
9780444639851
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
211,00 €

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