@inbook{98f18a5906e14a4fa1cfc14ab9adba26,
title = "Big Data Analytics for Smart Urban Systems",
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.",
keywords = "Big data analytics, Data interpretation, Data Modeling, Economy Planning, Machine Learning Techniques, Smart Applications, Social Networks, Transportation Management, Urban Healthcare, Urban Sustainability",
author = "Ardakani, {Saeid Pourroostaei} and Ali Cheshmehzangi",
note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.",
year = "2023",
doi = "10.1007/978-981-99-5543-5",
language = "English",
series = "Urban Sustainability",
publisher = "Springer",
pages = "1--126",
booktitle = "Urban Sustainability",
}
