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Big data analytics for smart urban s...

Pourroostaei Ardakani, Saeid.

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Big data analytics for smart urban systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics for smart urban systems/ by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi.
Author:	Pourroostaei Ardakani, Saeid.
other author:	Cheshmehzangi, Ali.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xix, 131 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction and editorial to the book -- Part 1. Big Data and Healthcare applications -- Chapter 2. The Correlation of Vaccination Progress and World- Wide immunity against COVID-19 -- Chapter 3. A Big Data Solution for Healthcare Infrastructure Development and the COVID-19 Prevention -- Chapter 4. A Federated Regression Analysis on Worldwide Mobility Trends During COVID-19 Early Stage -- Part 2. Big Data Solutions for Transportation Management -- Chapter 5. A Big Data approach for predicting Urban Transportation Cost -- Chapter 6. An Optimised Big Data Enabled Classification for Flight Status -- Chapter 7. A Time-series Classification of Freight Transport Data -- Part 3. Big Data Analysis Applications in Economy -- Chapter 8. A Multi-level Classification for Electronic Device Price -- Chapter 9. An Adaptive Feature Selection for Google App rating using Big Data solutions -- Chapter 10. A Time-series Pattern for Stock Market Prediction -- Part 4. Big Data Applications for Social Networks -- Chapter 11. An Optimized Clustering Model for Healthcare Sentiments on Twitter -- Chapter 12. How COVID-19 Pandemic Influences Social Networks? -- Chapter 13. Google Store's User Feedback Mining -- Part 5 -- Big Data Applications for Urban Environment Planning -- Chapter 14. Analysis of the Impact of Green Infrastructure on Carbon Monoxide Reduction -- Chapter 15. Big Data Analysis for UAV itinerary planning in Multi-Dimension Environments -- Chapter 16. Big Data Enabled Smart Home Applications a Carbon-zero World -- Chapter 17. Conclusions on Big Data Applications for contemporary and future urban sustainability research and practice.
Contained By:	Springer Nature eBook
Subject:	Big data - Social aspects. -
Online resource:	https://doi.org/10.1007/978-981-99-5543-5
ISBN:	9789819955435

Big data analytics for smart urban systems
Pourroostaei Ardakani, Saeid.

Big data analytics for smart urban systems[electronic resource] /by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi. - Singapore :Springer Nature Singapore :2023. - xix, 131 p. :ill., digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..

Chapter 1. Introduction and editorial to the book -- Part 1. Big Data and Healthcare applications -- Chapter 2. The Correlation of Vaccination Progress and World- Wide immunity against COVID-19 -- Chapter 3. A Big Data Solution for Healthcare Infrastructure Development and the COVID-19 Prevention -- Chapter 4. A Federated Regression Analysis on Worldwide Mobility Trends During COVID-19 Early Stage -- Part 2. Big Data Solutions for Transportation Management -- Chapter 5. A Big Data approach for predicting Urban Transportation Cost -- Chapter 6. An Optimised Big Data Enabled Classification for Flight Status -- Chapter 7. A Time-series Classification of Freight Transport Data -- Part 3. Big Data Analysis Applications in Economy -- Chapter 8. A Multi-level Classification for Electronic Device Price -- Chapter 9. An Adaptive Feature Selection for Google App rating using Big Data solutions -- Chapter 10. A Time-series Pattern for Stock Market Prediction -- Part 4. Big Data Applications for Social Networks -- Chapter 11. An Optimized Clustering Model for Healthcare Sentiments on Twitter -- Chapter 12. How COVID-19 Pandemic Influences Social Networks? -- Chapter 13. Google Store's User Feedback Mining -- Part 5 -- Big Data Applications for Urban Environment Planning -- Chapter 14. Analysis of the Impact of Green Infrastructure on Carbon Monoxide Reduction -- Chapter 15. Big Data Analysis for UAV itinerary planning in Multi-Dimension Environments -- Chapter 16. Big Data Enabled Smart Home Applications a Carbon-zero World -- Chapter 17. Conclusions on Big Data Applications for contemporary and future urban sustainability research and practice.

Big Data Analytics for Smart Urban Systems aims to introduce Big data solutions for urban sustainability smart applications, particularly for smart urban systems. It focuses on intelligent big data which takes the benefits of machine learning to analyse large and rapidly changing datasets in smart urban systems. The state-of-the-art Big data analytics applications are presented and discussed to highlight the feasibility of big data and machine learning solutions to enhance smart urban systems, smart operations, urban management, and urban governance. The key benefits of this book are, (1) to introduce the principles of machine learning-enabled big data analysis in smart urban systems, (2) to present the state-of-the-art data analysis solutions in smart management and operations, and (3) to understand the principles of big data analytics for smart cities and communities. Endorsements 'Over the many years of collaboration between academia and industry, we noticed the common language is 'big data'; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science'. - Tian Tang, Independent Researcher, China 'Big Data Analytics is a fascinating research area, particularly for cities and city transformations. This book is valuable to those who think vigorously and aim to act ahead'. - Li Xie, Independent Researcher, China 'For urban critiques, knowledge trains aspiring opportunities toward outstanding manifestations. Smartness has evolved or/ advanced rambunctious & embracing realities along (with) novel directions and nurturing integrated city knowledge'. - Aaron Golden, SELECT Consultants, UK.

ISBN: 9789819955435

Standard No.: 10.1007/978-981-99-5543-5doiSubjects--Topical Terms:

2050829
Big data
--Social aspects.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data analytics for smart urban systems
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245 1 0 $a Big data analytics for smart urban systems $h [electronic resource] / $c by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi.
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300 $a xix, 131 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Chapter 1. Introduction and editorial to the book -- Part 1. Big Data and Healthcare applications -- Chapter 2. The Correlation of Vaccination Progress and World- Wide immunity against COVID-19 -- Chapter 3. A Big Data Solution for Healthcare Infrastructure Development and the COVID-19 Prevention -- Chapter 4. A Federated Regression Analysis on Worldwide Mobility Trends During COVID-19 Early Stage -- Part 2. Big Data Solutions for Transportation Management -- Chapter 5. A Big Data approach for predicting Urban Transportation Cost -- Chapter 6. An Optimised Big Data Enabled Classification for Flight Status -- Chapter 7. A Time-series Classification of Freight Transport Data -- Part 3. Big Data Analysis Applications in Economy -- Chapter 8. A Multi-level Classification for Electronic Device Price -- Chapter 9. An Adaptive Feature Selection for Google App rating using Big Data solutions -- Chapter 10. A Time-series Pattern for Stock Market Prediction -- Part 4. Big Data Applications for Social Networks -- Chapter 11. An Optimized Clustering Model for Healthcare Sentiments on Twitter -- Chapter 12. How COVID-19 Pandemic Influences Social Networks? -- Chapter 13. Google Store's User Feedback Mining -- Part 5 -- Big Data Applications for Urban Environment Planning -- Chapter 14. Analysis of the Impact of Green Infrastructure on Carbon Monoxide Reduction -- Chapter 15. Big Data Analysis for UAV itinerary planning in Multi-Dimension Environments -- Chapter 16. Big Data Enabled Smart Home Applications a Carbon-zero World -- Chapter 17. Conclusions on Big Data Applications for contemporary and future urban sustainability research and practice.
520 $a Big Data Analytics for Smart Urban Systems aims to introduce Big data solutions for urban sustainability smart applications, particularly for smart urban systems. It focuses on intelligent big data which takes the benefits of machine learning to analyse large and rapidly changing datasets in smart urban systems. The state-of-the-art Big data analytics applications are presented and discussed to highlight the feasibility of big data and machine learning solutions to enhance smart urban systems, smart operations, urban management, and urban governance. The key benefits of this book are, (1) to introduce the principles of machine learning-enabled big data analysis in smart urban systems, (2) to present the state-of-the-art data analysis solutions in smart management and operations, and (3) to understand the principles of big data analytics for smart cities and communities. Endorsements 'Over the many years of collaboration between academia and industry, we noticed the common language is 'big data'; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science'. - Tian Tang, Independent Researcher, China 'Big Data Analytics is a fascinating research area, particularly for cities and city transformations. This book is valuable to those who think vigorously and aim to act ahead'. - Li Xie, Independent Researcher, China 'For urban critiques, knowledge trains aspiring opportunities toward outstanding manifestations. Smartness has evolved or/ advanced rambunctious & embracing realities along (with) novel directions and nurturing integrated city knowledge'. - Aaron Golden, SELECT Consultants, UK.
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650 0 $a Big data $x Economic aspects. $3 3489634
650 0 $a Cities and towns $x Data processing. $3 1313848
650 0 $a Smart cities $x Data processing. $3 3663565
650 1 4 $a Sustainability. $3 1029978
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Human Geography. $3 896266
700 1 $a Cheshmehzangi, Ali. $3 3299387
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830 0 $a Urban sustainability. $3 3597125
856 4 0 $u https://doi.org/10.1007/978-981-99-5543-5
950 $a Social Sciences (SpringerNature-41176)