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Guide to big data applications 1st ed.

Author
Additional Author(s)
  • Srinivasan, S.
Publisher
Cham, Switzerland : Springer International Publishing, 2018
Language
English
ISBN
9783319538174
Series
Studies in big data 26
Subject(s)
  • BIG DATA
  • APPLICATION SOFTWARE
  • MEDICAL INFORMATICS
Notes
. .
Abstract
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.
Physical Dimension
Number of Page(s)
1 online resource (xvii, 565 p.)
Dimension
-
Other Desc.
ill. (in color.)
Summary / Review / Table of Content
No summary / review / table of content available!
Exemplar(s)
# Accession No. Call Number Location Status
1.01758/20005.7 GuiOnline !Available

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