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.
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.

Big Data Analytics for Smart Transport and Healthcare Systems

Big Data Analytics for Smart Transport and Healthcare Systems
Product Details
ISBN-13: | 9789819966202 |
---|---|
Publisher: | Springer-Verlag New York, LLC |
Publication date: | 12/03/2023 |
Series: | Urban Sustainability |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 37 MB |
Note: | This product may take a few minutes to download. |