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Guide to Big Data Applications

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Guide to Big Data Applications Synopsis

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.

About This Edition

ISBN: 9783319538167
Publication date: 7th June 2017
Author: S Srinivasan
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 565 pages
Series: Studies in Big Data
Genres: Communications engineering / telecommunications
Entertainment and media law
Electronics engineering
Computer applications in industry and technology
Digital signal processing (DSP)
Computer hardware
Databases