Big Data Analytics

Methods and Applications de

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Éditeur :

Springer


Paru le : 2016-10-12

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Description

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome;  graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
Pages
276 pages
Collection
n.c
Parution
2016-10-12
Marque
Springer
EAN papier
9788132236269
EAN PDF
9788132236283

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
7578 Ko
Prix
137,14 €
EAN EPUB
9788132236283

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
3318 Ko
Prix
137,14 €

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