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Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability [electronic resource] : Second International Conference, ICGER 2023, Sharjah, United Arab Emirates, February 27–28, 2023, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1999Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XVII, 252 p. 62 illus., 54 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031505188
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Big Data Governance & Sustainability -- Business Analytics, Blockchain, & IoT -- Digitalization & Sustainable Technologies.
In: Springer Nature eBookSummary: This book constitutes the revised and selected papers of the International Conference on Global Economic Revolutions (ICGER 2023) held in Sharjah City, United Arab Emirates, during February 27-28, 2023. The 18 papers included in this book were thoroughly reviewed and selected from the 105 submissions. The papers focus on topics related to data science and data centers, machine learning, sustainable technologies for a green economy, metaverse in the healthcare education, Predictive Model Analytics using Data mining and Machine learning, blockchain adoption and acceptance, Narrow Band Internet of Things, and enhanced Bubble Sorting Visualizer.
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Big Data Governance & Sustainability -- Business Analytics, Blockchain, & IoT -- Digitalization & Sustainable Technologies.

This book constitutes the revised and selected papers of the International Conference on Global Economic Revolutions (ICGER 2023) held in Sharjah City, United Arab Emirates, during February 27-28, 2023. The 18 papers included in this book were thoroughly reviewed and selected from the 105 submissions. The papers focus on topics related to data science and data centers, machine learning, sustainable technologies for a green economy, metaverse in the healthcare education, Predictive Model Analytics using Data mining and Machine learning, blockchain adoption and acceptance, Narrow Band Internet of Things, and enhanced Bubble Sorting Visualizer.

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