Machine Learning Approaches for Urb - E-book

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Machine Learning Approaches For Urban Computing - ENG

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Sinopsis

ISBN:	9789811609350
Formato:	ePub
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Tecnología e ingeniería
Subtema:	Ingeniería (General)
Año de publicación:	2021-04-28

This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.

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