Guide to Big Data Applications / edited by S. Srinivasan.
2018
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Details
Title
Guide to Big Data Applications / edited by S. Srinivasan.
Added Author
Added Corporate Author
Edition
1st ed. 2018.
Imprint
Cham : Springer International Publishing : Imprint: Springer, 2018.
Description
XVII, 565 p. 205 illus., 155 illus. in color. online resource.
Series
Studies in big data. 2197-6503 ; 26.
Formatted Contents Note
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.
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
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.
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Alternate Title
SpringerLink electronic monographs.
Language
English
ISBN
9783319538174
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