Urban Sustainability

Pourroostaei Ardakani, Saeid; Cheshmehzangi, Ali

This book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.

Details

Published by: Springer

Publication Date: 2023-12-04

Format: Hardcover

ISBN-13: 9789819966196

DOI: 10.1007/978-981-99-6620-2

Dimensions: 235cm x155cm

Pages: 190