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S. Srinivasan (Ed.) - Guide to Big Data Applications - 9783319538167 - V9783319538167
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Guide to Big Data Applications

€ 225.07
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Description for Guide to Big Data Applications Hardback. Editor(s): Srinivasan, S. Series: Studies in Big Data. Num Pages: 422 pages, 100 black & white illustrations, 150 colour illustrations, 150 colour tables, biography. BIC Classification: KJQ; LN; MBG; TTBM; UT. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
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, ... Read more

Product Details

Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2017
Series
Studies in Big Data
Condition
New
Weight
28g
Number of Pages
565
Place of Publication
Cham, Switzerland
ISBN
9783319538167
SKU
V9783319538167
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About S. Srinivasan (Ed.)
Dr. S. Srinivasan is the Associate Dean for Academic Affairs and Research as well as the Distinguished Professor of Information Systems at the Jesse H. Jones (JHJ) School of Business at Texas Southern University (TSU) in Houston, Texas, USA. He is the Director of Graduate Programs at the JHJ School of Business. Prior to coming to TSU, he was Chairman ... Read more

Reviews for Guide to Big Data Applications
The purpose is to provide an understanding of the basic aspects of big data, data privacy, and how to incorporate them in various fields. ... There is a vast audience in multiple fields that would benefit from this book
scientists, business professionals, medical professionals, researchers, and anyone interested in learning the basics of big data and its practical applications. ... Read more

Goodreads reviews for Guide to Big Data Applications


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