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Guide to Big Data Applications (2018)

Contributor(s): Srinivasan, S (Editor)

ISBN: 9783319538167

Publisher: Springer

Hardcover
$199.99
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Pub Date: June 7, 2017

Dewey: 004.6

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 1.25" H x 9.21" L x 6.14" W ( 2.18 lbs) 565 pages

Series: Studies in Big Data

Descriptions, Reviews, etc.

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.

Review Quotes: "The purpose is to provide an understanding of the basic aspects of big data, data privacy, and how to incorporate them in various fields. ... There is a vast audience in multiple fields that would benefit from this book -- scientists, business professionals, medical professionals, researchers, and anyone interested in learning the basics of big data and its practical applications. ... recommended for anyone interested in applying big data in any field, such as business, marketing, science, and so on." (Puja Sitwala, Doody's Book Reviews, August, 2017)

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