Guide to big data applications (Record no. 32528)

LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2017936371
INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319538167
DEWEY DECIMAL CLASSIFICATION NUMBER
Call number 005.7 GU ID
TITLE STATEMENT
Title Guide to big data applications
Statement of responsibility, etc Edited by S. Srinivasan
PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New York, NY :
Publisher Springer Science+Business Media,
Date c2018.
PHYSICAL DESCRIPTION
Extent xvii, 565 p. :
Other Details ill. ;
Size 25 cm.
SERIES STATEMENT
Series statement Studies in Big Data ;
Volume number 26
CONTENTS
Contents 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.
SUMMARY
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.
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Heading Engineering
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Heading Big data
ADDED ENTRY
Name Srinivasan, S.,
Role Edited by
SERIES UNIFORM TITLE
Series Uniform Title Studies in Big Data
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://uowd.box.com/s/6a48cy7znfkoq4ybvtdb8uqd2sw8fs9v
Public note Location Map
SUBJECT ADDED ENTRY--TOPICAL TERM
-- 780
SUBJECT ADDED ENTRY--TOPICAL TERM
-- 2241
ADDED ENTRY
-- 10445
SERIES UNIFORM TITLE
-- 18600
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Shelving location Date acquired Source of acquisition Full call number Barcode Date last seen Price effective from Koha item type Public note
        University of Wollongong in Dubai University of Wollongong in Dubai Main Collection 2018-04-18 MERIC 005.7 GU ID T0057894 2024-05-09 2017-10-22 REGULAR Mar2018

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