Loading…
Guide to Big Data Applications
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 bo...
| Corporate Author: | |
|---|---|
| Other Authors: | |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edition: | 1st ed. 2018. |
| Series: | Studies in Big Data,
26 |
| Subjects: | |
| Online Access: | Full-text access |
| Summary: | 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 Description: | XVII, 565 p. 205 illus., 155 illus. in color. online resource. |
| ISBN: | 9783319538174 |
| ISSN: | 2197-6511 ; |
| DOI: | 10.1007/978-3-319-53817-4 |