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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Srinivasan, S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Big Data, 26
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.