Disruptive Technologies for Big Data and Cloud Applications Proceedings of ICBDCC 2021 /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Peter, J. Dinesh (Editor), Fernandes, Steven Lawrence (Editor), Alavi, Amir H. (Editor)
Summary:XVI, 907 p. 555 illus., 448 illus. in color.
text
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Lecture Notes in Electrical Engineering, 905
Subjects:
Online Access:https://doi.org/10.1007/978-981-19-2177-3
Format: Electronic Book
Table of Contents:
  • Part I
  • Introduction
  • Part II
  • Data models and machine learning techniques for big data
  • Infrastructure, platform, application, business, social and mobile cloud
  • Cloud and data privacy
  • Data analytics in Cloud
  • Big Data & cloud technologies for business and applications and research
  • Index.