Guide to Big Data Applications

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2017-05-25

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Description

This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Pages
565 pages
Collection
Studies in Big Data
Parution
2017-05-25
Marque
Springer
EAN papier
9783319538167
EAN PDF
9783319538174

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
12483 Ko
Prix
126,59 €
EAN EPUB
9783319538174

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
7598 Ko
Prix
126,59 €