๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Guide to Big Data Applications

โœ Scribed by S. Srinivasan

Publisher
Springer
Year
2017
Tongue
English
Leaves
567
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ 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.

๐Ÿ“œ SIMILAR VOLUMES

Guide to Big Data Applications
๐Ÿ“ Guide to Big Data Applications
โœ Srinivasan S. (ed.) ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer ๐ŸŒ English

<p>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

Guide to Big Data Applications
๐Ÿ“ Guide to Big Data Applications
โœ Srinivasan, S(Editor) ๐Ÿ“‚ Library ๐Ÿ“… 2017;2018 ๐Ÿ› Springer ๐ŸŒ English

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

Guide to Big Data Applications (ed.)
๐Ÿ“ Guide to Big Data Applications (ed.)
โœ S. Srinivasan ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer ๐ŸŒ English

<p>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

Analytics in a Big Data World: The Essen
๐Ÿ“ Analytics in a Big Data World: The Essential Guide to Data Science and its Applications
โœ Bart Baesens [Bart Baesens] ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› John Wiley & Sons ๐ŸŒ English

<span><span><p><b>The guide to targeting and leveraging business opportunities using big data &amp; analytics</b></p><p>By leveraging big data &amp; analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. <em>An

Analytics in a Big Data World: The Essen
๐Ÿ“ Analytics in a Big Data World: The Essential Guide to Data Science and its Applications
โœ Bart Baesens ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Wiley ๐ŸŒ English

The guide to targeting and leveraging business opportunities using big data & analytics <p>By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals

Analytics in a Big Data World. The Esse
๐Ÿ“ Analytics in a Big Data World. The Essential Guide to Data Science and its Applications
โœ Bart Baesens ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Wiley ๐ŸŒ English

The guide to targeting and leveraging business opportunities using big data & analytics<br>By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals h