Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability
- Indbinding:
- Paperback
- Sideantal:
- 268
- Udgivet:
- 12. januar 2024
- Udgave:
- 24001
- Størrelse:
- 155x15x235 mm.
- Vægt:
- 411 g.
- 8-11 hverdage.
- 23. november 2024
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- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability
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.
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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Bogen Global Economic Revolutions: Big Data Governance and Business Analytics for Sustainability findes i følgende kategorier:
- Business og læring > Computer og IT
- Databehandling og informationsteknologi > Computere og hardware
- Databehandling og informationsteknologi > Databaser
- Databehandling og informationsteknologi > Anvendt databehandling
- Databehandling og informationsteknologi > Informatik > Systemanalyse og systemdesign
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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