Big Data Analytics for Smart Transport and Healthcare Systems

Ali Cheshmehzangi, Saeid Pourroostaei Ardakani

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Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

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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Schlagwörter

Smart Applications, Data Interpretation, Data Science, Transportation Management, Healthcare, Machine Learning Techniques, Healthcare Optimisation, Transport Systems, Big Data Analytics, Data Modeling