Guide to Big Data Applications (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 26
Release date:	June 2017
First published:	2018
Editors:	S. Srinivasan
Dimensions:	235 x 155 x 40mm (L x W x T)
Format:	Hardcover
Pages:	565
Edition:	1st ed. 2018
ISBN-13:	978-3-319-53816-7
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Law > Laws of other jurisdictions & general law > Social law > General Books > Medicine > General issues > Medical equipment & techniques > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	3-319-53816-0
Barcode:	9783319538167

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