Machine Learning Approaches for Urban Computing (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 968
Release date:	April 2021
First published:	2021
Editors:	Mainak Bandyopadhyay • Minakhi Rout • Suresh Chandra Satapathy
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	208
Edition:	1st ed. 2021
ISBN-13:	978-981-16-0934-3
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-16-0934-9
Barcode:	9789811609343

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