| 期刊全稱 | Big Data Analytics for Smart Urban Systems | | 影響因子2023 | Saeid Pourroostaei Ardakani,Ali Cheshmehzangi | | 視頻video | http://file.papertrans.cn/186/185616/185616.mp4 | | 發(fā)行地址 | Introduces data analysis challenges and opportunities in smart urban systems.Describes the keys of machine learning solution design for urban sustainability applications.Discusses the capacities of th | | 學科分類 | Urban Sustainability | | 圖書封面 |  | | 影響因子 | 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 fa | | Pindex | Book 2023 |
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