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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 / edited by Abdalmuttaleb M. A. Musleh Al-Sartawi, Mohd Helmy Abd Wahab, Khaled Hussainey.

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TextSeries: 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

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online resource

ISBN:

9783031505188

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

Q334-342
TA347.A78

Online resources:

Resursa online

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.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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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