Guide to Big Data Applications
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Guide to Big Data Applications

SKU: 9783319538174

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Additional information

Full Title

Guide to Big Data Applications
Author(s)
Edition
ISBN

9783319538174, 9783319538167
Publisher

Springer
Format

PDF and EPUB

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.

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