Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Urban Sustainability |
| Publisher | Springer |
| Pages | 1-126 |
| Number of pages | 126 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
Publication series
| Name | Urban Sustainability |
|---|---|
| Volume | Part F3689 |
| ISSN (Print) | 2731-6483 |
| ISSN (Electronic) | 2731-6491 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Free Keywords
- Big data analytics
- Data Modeling
- Data interpretation
- Economy Planning
- Machine Learning Techniques
- Smart Applications
- Social Networks
- Transportation Management
- Urban Healthcare
- Urban Sustainability
ASJC Scopus subject areas
- Geography, Planning and Development
- Transportation
- Waste Management and Disposal
- Urban Studies
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