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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.
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