Guide to Big Data Applications

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...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Srinivasan, S. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Big Data, 26
Konular:
Telecommunication.
Computer engineering.
Computer networks .
Signal processing.
Quantitative research.
Medical informatics.
Information technology > Law and legislation.
Mass media > Law and legislation.
Communications Engineering, Networks.
Computer Engineering and Networks.
Signal, Speech and Image Processing.
Data Analysis and Big Data.
Health Informatics.
IT Law, Media Law, Intellectual Property.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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