Cantitate/Preț
Produs
Total produse
Vezi coșul
Guide to Big Data Applications de S. Srinivasan

Guide to Big Data Applications: Studies in Big Data, cartea 26

Editat de S. Srinivasan
en Limba Engleză Hardback – 7 iun 2017
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 76463 lei  43-57 zile
  Springer International Publishing – aug 2018 76463 lei  43-57 zile
Hardback (1) 108502 lei  43-57 zile
  Springer International Publishing – 7 iun 2017 108502 lei  43-57 zile

Din seria Studies in Big Data

Preț: 108502 lei

Preț vechi: 132319 lei
-18% Nou

Puncte Express: 1628
Preț estimativ în valută:
20765€ • 21960$ • 17321£

Carte tipărită la comandă

Livrare economică 30 decembrie 24 - 13 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319538167
ISBN-10: 3319538160
Pagini: 422
Ilustrații: XVII, 565 p. 205 illus., 155 illus. in color.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 0.99 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion.

Recenzii

“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. … recommended for anyone interested in applying big data in any field, such as business, marketing, science, and so on.” (Puja Sitwala, Doody’s Book Reviews, August, 2017) 

Notă biografică

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 of the Division of International Business and Technology Studies at Texas A & M International University in Laredo. He spent 23 years at the University of Louisville (UofL) in Kentucky where he started the Information Security Program as a collaborative effort of multiple colleges. He was Director of the InfoSec program until 2010 when he left for Texas. The program was designated a National Center of Academic Excellence in Information Assurance Education by the US National Security Agency and the Department of Homeland Security. He successfully wrote several grant proposals in support of the InfoSec Program. His two books on Cloud Computing are “Security, Trust, and Regulatory Aspects of Cloud Computing in Business Environments” and “Cloud Computing Basics”. His area of research is Information Security. He is the Editor-in-Chief for the Southwestern Business Administration Journal. He has taught Management of Information Systems and Computer Science courses. He spent his sabbatical leaves from UofL at Siemens in their R & D facility in Munich, Germany; UPS Air Group in Louisville, KY; and GE Appliance Park in Louisville, KY. Besides these industry experiences, he has done consulting work for US Army, IBM and a major hospital company in Louisville, KY. He is currently a Cybersecurity Task Force member of the Greater Houston Partnership.

Textul de pe ultima copertă

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.

Caracteristici

Features a wide range of big data applications covering medicine, science, and business; Includes contributions from leading academics and business leaders from around the world; Presented in a way so readers can adapt approaches used in other fields to their own fields. Includes supplementary material: sn.pub/extras