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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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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.