Big Data Analytics for Smart Transport and Healthcare Systems
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 tra...
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| Main Authors: | , |
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Edición: | 1st ed. 2023. |
| Series: | Urban Sustainability,
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-981-99-6620-2 |
| Tags: |
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| Summary: | 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. |
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| Descrición Física: | 1 online resource (XVII, 190 p. 75 illus.). 72 illus. in color. |
| ISBN: | 9789819966202 |
| ISSN: | 2731-6491 |
| DOI: | 10.1007/978-981-99-6620-2 |